Datasets:
Formats:
csv
Size:
< 1K
ArXiv:
Tags:
computer-vision
vision-transformer
knowledge-distillation
representation-analysis
encoding-mismatch
spectral-energy-pattern
License:
Release analysis data for arXiv:2511.15572
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +230 -0
- data/manifest.csv +60 -0
- data/npz_array_catalog.csv +337 -0
- raw/cait/dataset_pca/dataset_pca_results.npz +3 -0
- raw/cait/sep/sep_results.npz +3 -0
- raw/cait/sep/sep_thresholds.csv +6 -0
- raw/cait/svd/svd_results.npz +3 -0
- raw/comparison/sep/sep_comparison_table.csv +15 -0
- raw/comparison/svd_pca/svd_rank_table.md +16 -0
- raw/comparison/svd_pca/svd_rank_table.tex +24 -0
- raw/deit_small/dataset_pca/dataset_pca_results.npz +3 -0
- raw/deit_small/sep/sep_results.npz +3 -0
- raw/deit_small/sep/sep_thresholds.csv +6 -0
- raw/deit_small/svd/svd_results.npz +3 -0
- raw/swin_small/dataset_pca/dataset_pca_results.npz +3 -0
- raw/swin_small/sep/sep_results.npz +3 -0
- raw/swin_small/sep/sep_thresholds.csv +6 -0
- raw/swin_small/svd/svd_results.npz +3 -0
- raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_base_patch14_dinov2/sep/sep_results.npz +3 -0
- raw/vit_base_patch14_dinov2/sep/sep_thresholds.csv +6 -0
- raw/vit_base_patch14_dinov2/svd/svd_results.npz +3 -0
- raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_base_patch16_224_dino/sep/sep_results.npz +3 -0
- raw/vit_base_patch16_224_dino/sep/sep_thresholds.csv +6 -0
- raw/vit_base_patch16_224_dino/svd/svd_results.npz +3 -0
- raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_base_patch16_224_mae/sep/sep_results.npz +3 -0
- raw/vit_base_patch16_224_mae/sep/sep_thresholds.csv +6 -0
- raw/vit_base_patch16_224_mae/svd/svd_results.npz +3 -0
- raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_base_patch16_clip_openai/sep/sep_results.npz +3 -0
- raw/vit_base_patch16_clip_openai/sep/sep_thresholds.csv +6 -0
- raw/vit_base_patch16_clip_openai/svd/svd_results.npz +3 -0
- raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_huge_patch14_224_mae/sep/sep_results.npz +3 -0
- raw/vit_huge_patch14_224_mae/sep/sep_thresholds.csv +6 -0
- raw/vit_huge_patch14_224_mae/svd/svd_results.npz +3 -0
- raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_large_21k_in1k/sep/sep_results.npz +3 -0
- raw/vit_large_21k_in1k/sep/sep_thresholds.csv +6 -0
- raw/vit_large_21k_in1k/svd/svd_results.npz +3 -0
- raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_large_patch14_clip_openai/sep/sep_results.npz +3 -0
- raw/vit_large_patch14_clip_openai/sep/sep_thresholds.csv +6 -0
- raw/vit_large_patch14_clip_openai/svd/svd_results.npz +3 -0
- raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz +3 -0
- raw/vit_large_patch14_dinov2/sep/sep_results.npz +3 -0
- raw/vit_large_patch14_dinov2/sep/sep_thresholds.csv +6 -0
- raw/vit_large_patch14_dinov2/svd/svd_results.npz +3 -0
README.md
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| 1 |
+
---
|
| 2 |
+
license: "apache-2.0"
|
| 3 |
+
pretty_name: Encoding Mismatch Analysis Data
|
| 4 |
+
task_categories:
|
| 5 |
+
- image-classification
|
| 6 |
+
tags:
|
| 7 |
+
- computer-vision
|
| 8 |
+
- vision-transformer
|
| 9 |
+
- knowledge-distillation
|
| 10 |
+
- representation-analysis
|
| 11 |
+
- encoding-mismatch
|
| 12 |
+
- spectral-energy-pattern
|
| 13 |
+
- pca
|
| 14 |
+
- svd
|
| 15 |
+
- icml-2026
|
| 16 |
+
- arxiv:2511.15572
|
| 17 |
+
configs:
|
| 18 |
+
- config_name: npz_array_catalog
|
| 19 |
+
data_files:
|
| 20 |
+
- split: train
|
| 21 |
+
path: data/npz_array_catalog.csv
|
| 22 |
+
default: true
|
| 23 |
+
- config_name: manifest
|
| 24 |
+
data_files:
|
| 25 |
+
- split: train
|
| 26 |
+
path: data/manifest.csv
|
| 27 |
+
- config_name: cait_sep_sep_thresholds
|
| 28 |
+
data_files:
|
| 29 |
+
- split: train
|
| 30 |
+
path: "raw/cait/sep/sep_thresholds.csv"
|
| 31 |
+
- config_name: comparison_sep_sep_comparison_table
|
| 32 |
+
data_files:
|
| 33 |
+
- split: train
|
| 34 |
+
path: "raw/comparison/sep/sep_comparison_table.csv"
|
| 35 |
+
- config_name: deit_small_sep_sep_thresholds
|
| 36 |
+
data_files:
|
| 37 |
+
- split: train
|
| 38 |
+
path: "raw/deit_small/sep/sep_thresholds.csv"
|
| 39 |
+
- config_name: swin_small_sep_sep_thresholds
|
| 40 |
+
data_files:
|
| 41 |
+
- split: train
|
| 42 |
+
path: "raw/swin_small/sep/sep_thresholds.csv"
|
| 43 |
+
- config_name: vit_base_patch14_dinov2_sep_sep_thresholds
|
| 44 |
+
data_files:
|
| 45 |
+
- split: train
|
| 46 |
+
path: "raw/vit_base_patch14_dinov2/sep/sep_thresholds.csv"
|
| 47 |
+
- config_name: vit_base_patch16_224_dino_sep_sep_thresholds
|
| 48 |
+
data_files:
|
| 49 |
+
- split: train
|
| 50 |
+
path: "raw/vit_base_patch16_224_dino/sep/sep_thresholds.csv"
|
| 51 |
+
- config_name: vit_base_patch16_224_mae_sep_sep_thresholds
|
| 52 |
+
data_files:
|
| 53 |
+
- split: train
|
| 54 |
+
path: "raw/vit_base_patch16_224_mae/sep/sep_thresholds.csv"
|
| 55 |
+
- config_name: vit_base_patch16_clip_openai_sep_sep_thresholds
|
| 56 |
+
data_files:
|
| 57 |
+
- split: train
|
| 58 |
+
path: "raw/vit_base_patch16_clip_openai/sep/sep_thresholds.csv"
|
| 59 |
+
- config_name: vit_huge_patch14_224_mae_sep_sep_thresholds
|
| 60 |
+
data_files:
|
| 61 |
+
- split: train
|
| 62 |
+
path: "raw/vit_huge_patch14_224_mae/sep/sep_thresholds.csv"
|
| 63 |
+
- config_name: vit_large_21k_in1k_sep_sep_thresholds
|
| 64 |
+
data_files:
|
| 65 |
+
- split: train
|
| 66 |
+
path: "raw/vit_large_21k_in1k/sep/sep_thresholds.csv"
|
| 67 |
+
- config_name: vit_large_patch14_clip_openai_sep_sep_thresholds
|
| 68 |
+
data_files:
|
| 69 |
+
- split: train
|
| 70 |
+
path: "raw/vit_large_patch14_clip_openai/sep/sep_thresholds.csv"
|
| 71 |
+
- config_name: vit_large_patch14_dinov2_sep_sep_thresholds
|
| 72 |
+
data_files:
|
| 73 |
+
- split: train
|
| 74 |
+
path: "raw/vit_large_patch14_dinov2/sep/sep_thresholds.csv"
|
| 75 |
+
- config_name: vit_large_patch16_224_mae_sep_sep_thresholds
|
| 76 |
+
data_files:
|
| 77 |
+
- split: train
|
| 78 |
+
path: "raw/vit_large_patch16_224_mae/sep/sep_thresholds.csv"
|
| 79 |
+
- config_name: vit_small_patch16_224_dino_sep_sep_thresholds
|
| 80 |
+
data_files:
|
| 81 |
+
- split: train
|
| 82 |
+
path: "raw/vit_small_patch16_224_dino/sep/sep_thresholds.csv"
|
| 83 |
+
- config_name: vit_tiny_patch16_224_21k_sep_sep_thresholds
|
| 84 |
+
data_files:
|
| 85 |
+
- split: train
|
| 86 |
+
path: "raw/vit_tiny_patch16_224_21k/sep/sep_thresholds.csv"
|
| 87 |
+
---
|
| 88 |
+
|
| 89 |
+
# Encoding Mismatch Analysis Data
|
| 90 |
+
|
| 91 |
+
This repository publishes the prepared numerical analysis artifacts associated
|
| 92 |
+
with **From Per-Image Low-Rank to Encoding Mismatch: Rethinking Feature
|
| 93 |
+
Distillation in Vision Transformers**. It is analysis data, not an image or
|
| 94 |
+
model-training dataset, and it does not redistribute ImageNet.
|
| 95 |
+
|
| 96 |
+
## Links
|
| 97 |
+
|
| 98 |
+
- Paper: https://arxiv.org/abs/2511.15572
|
| 99 |
+
- Hugging Face paper page: https://huggingface.co/papers/2511.15572
|
| 100 |
+
- Code and analysis scripts: https://github.com/thy960112/From-Per-Image-Low-Rank-to-Encoding-Mismatch
|
| 101 |
+
- Lift and WideLast checkpoints: https://huggingface.co/Huiyuancs/Encoding_Mismatch
|
| 102 |
+
|
| 103 |
+
## Load the default configuration
|
| 104 |
+
|
| 105 |
+
The default `npz_array_catalog` configuration has one row per safely inspected
|
| 106 |
+
array inside the original NPZ files. It records the source file, array key,
|
| 107 |
+
dtype, JSON-encoded shape, dimensionality, element count, finite numeric
|
| 108 |
+
summary statistics where applicable, a small JSON preview, and any safe
|
| 109 |
+
inspection error.
|
| 110 |
+
|
| 111 |
+
```python
|
| 112 |
+
from datasets import load_dataset
|
| 113 |
+
|
| 114 |
+
catalog = load_dataset(
|
| 115 |
+
"Huiyuancs/Encoding_Mismatch_Analysis_Data",
|
| 116 |
+
split="train",
|
| 117 |
+
)
|
| 118 |
+
```
|
| 119 |
+
|
| 120 |
+
## Load the manifest
|
| 121 |
+
|
| 122 |
+
The manifest records the repository-relative path, file type, byte size,
|
| 123 |
+
SHA-256 digest, and recommended loader for every artifact copied from the
|
| 124 |
+
GitHub repository's `Raw data/` directory.
|
| 125 |
+
|
| 126 |
+
```python
|
| 127 |
+
from datasets import load_dataset
|
| 128 |
+
|
| 129 |
+
manifest = load_dataset(
|
| 130 |
+
"Huiyuancs/Encoding_Mismatch_Analysis_Data",
|
| 131 |
+
"manifest",
|
| 132 |
+
split="train",
|
| 133 |
+
)
|
| 134 |
+
```
|
| 135 |
+
|
| 136 |
+
## Load an original CSV table
|
| 137 |
+
|
| 138 |
+
Each original CSV has a separate configuration. For example:
|
| 139 |
+
|
| 140 |
+
```python
|
| 141 |
+
from datasets import load_dataset
|
| 142 |
+
|
| 143 |
+
table = load_dataset(
|
| 144 |
+
"Huiyuancs/Encoding_Mismatch_Analysis_Data",
|
| 145 |
+
"cait_sep_sep_thresholds",
|
| 146 |
+
split="train",
|
| 147 |
+
)
|
| 148 |
+
```
|
| 149 |
+
|
| 150 |
+
## Download and read an original NPZ file
|
| 151 |
+
|
| 152 |
+
Use `hf_hub_download` for the original binary artifacts and keep NumPy's
|
| 153 |
+
pickle loading disabled:
|
| 154 |
+
|
| 155 |
+
```python
|
| 156 |
+
from huggingface_hub import hf_hub_download
|
| 157 |
+
import numpy as np
|
| 158 |
+
|
| 159 |
+
path = hf_hub_download(
|
| 160 |
+
repo_id="Huiyuancs/Encoding_Mismatch_Analysis_Data",
|
| 161 |
+
repo_type="dataset",
|
| 162 |
+
filename="raw/cait/dataset_pca/dataset_pca_results.npz",
|
| 163 |
+
)
|
| 164 |
+
|
| 165 |
+
with np.load(path, allow_pickle=False) as archive:
|
| 166 |
+
print(archive.files)
|
| 167 |
+
```
|
| 168 |
+
|
| 169 |
+
The same download method can be used with any `relative_path` from the
|
| 170 |
+
`manifest` configuration.
|
| 171 |
+
|
| 172 |
+
## Repository structure
|
| 173 |
+
|
| 174 |
+
```text
|
| 175 |
+
README.md
|
| 176 |
+
data/
|
| 177 |
+
├── manifest.csv
|
| 178 |
+
├── npz_array_catalog.csv
|
| 179 |
+
└── viewer_csv/ # only created when a source CSV needs it
|
| 180 |
+
raw/ # byte-identical copy of Raw data/
|
| 181 |
+
```
|
| 182 |
+
|
| 183 |
+
`data/npz_array_catalog.csv` is a compact inspection index, not a replacement
|
| 184 |
+
for the original arrays. `data/manifest.csv` supplies checksums for verifying
|
| 185 |
+
the originals. All released CSV files load directly with Hugging Face Datasets, so their configurations point to the byte-identical files under `raw/`; no viewer-normalized copies were needed.
|
| 186 |
+
|
| 187 |
+
## CSV configurations
|
| 188 |
+
|
| 189 |
+
| Configuration | Original file | Config data file | Rows | Representation |
|
| 190 |
+
|---|---|---|---:|---|
|
| 191 |
+
| `cait_sep_sep_thresholds` | `raw/cait/sep/sep_thresholds.csv` | `raw/cait/sep/sep_thresholds.csv` | 5 | original |
|
| 192 |
+
| `comparison_sep_sep_comparison_table` | `raw/comparison/sep/sep_comparison_table.csv` | `raw/comparison/sep/sep_comparison_table.csv` | 14 | original |
|
| 193 |
+
| `deit_small_sep_sep_thresholds` | `raw/deit_small/sep/sep_thresholds.csv` | `raw/deit_small/sep/sep_thresholds.csv` | 5 | original |
|
| 194 |
+
| `swin_small_sep_sep_thresholds` | `raw/swin_small/sep/sep_thresholds.csv` | `raw/swin_small/sep/sep_thresholds.csv` | 5 | original |
|
| 195 |
+
| `vit_base_patch14_dinov2_sep_sep_thresholds` | `raw/vit_base_patch14_dinov2/sep/sep_thresholds.csv` | `raw/vit_base_patch14_dinov2/sep/sep_thresholds.csv` | 5 | original |
|
| 196 |
+
| `vit_base_patch16_224_dino_sep_sep_thresholds` | `raw/vit_base_patch16_224_dino/sep/sep_thresholds.csv` | `raw/vit_base_patch16_224_dino/sep/sep_thresholds.csv` | 5 | original |
|
| 197 |
+
| `vit_base_patch16_224_mae_sep_sep_thresholds` | `raw/vit_base_patch16_224_mae/sep/sep_thresholds.csv` | `raw/vit_base_patch16_224_mae/sep/sep_thresholds.csv` | 5 | original |
|
| 198 |
+
| `vit_base_patch16_clip_openai_sep_sep_thresholds` | `raw/vit_base_patch16_clip_openai/sep/sep_thresholds.csv` | `raw/vit_base_patch16_clip_openai/sep/sep_thresholds.csv` | 5 | original |
|
| 199 |
+
| `vit_huge_patch14_224_mae_sep_sep_thresholds` | `raw/vit_huge_patch14_224_mae/sep/sep_thresholds.csv` | `raw/vit_huge_patch14_224_mae/sep/sep_thresholds.csv` | 5 | original |
|
| 200 |
+
| `vit_large_21k_in1k_sep_sep_thresholds` | `raw/vit_large_21k_in1k/sep/sep_thresholds.csv` | `raw/vit_large_21k_in1k/sep/sep_thresholds.csv` | 5 | original |
|
| 201 |
+
| `vit_large_patch14_clip_openai_sep_sep_thresholds` | `raw/vit_large_patch14_clip_openai/sep/sep_thresholds.csv` | `raw/vit_large_patch14_clip_openai/sep/sep_thresholds.csv` | 5 | original |
|
| 202 |
+
| `vit_large_patch14_dinov2_sep_sep_thresholds` | `raw/vit_large_patch14_dinov2/sep/sep_thresholds.csv` | `raw/vit_large_patch14_dinov2/sep/sep_thresholds.csv` | 5 | original |
|
| 203 |
+
| `vit_large_patch16_224_mae_sep_sep_thresholds` | `raw/vit_large_patch16_224_mae/sep/sep_thresholds.csv` | `raw/vit_large_patch16_224_mae/sep/sep_thresholds.csv` | 5 | original |
|
| 204 |
+
| `vit_small_patch16_224_dino_sep_sep_thresholds` | `raw/vit_small_patch16_224_dino/sep/sep_thresholds.csv` | `raw/vit_small_patch16_224_dino/sep/sep_thresholds.csv` | 5 | original |
|
| 205 |
+
| `vit_tiny_patch16_224_21k_sep_sep_thresholds` | `raw/vit_tiny_patch16_224_21k/sep/sep_thresholds.csv` | `raw/vit_tiny_patch16_224_21k/sep/sep_thresholds.csv` | 5 | original |
|
| 206 |
+
|
| 207 |
+
## Source and intended use
|
| 208 |
+
|
| 209 |
+
The files are derived from the paper's representation-analysis workflow,
|
| 210 |
+
including per-image SVD, dataset-level PCA, and Spectral Energy Pattern
|
| 211 |
+
summaries. They are provided for inspecting the reported analyses and for
|
| 212 |
+
regenerating tables or figures with the corresponding GitHub scripts. The
|
| 213 |
+
artifacts are not a substitute for ImageNet-1K or for rerunning feature
|
| 214 |
+
extraction.
|
| 215 |
+
|
| 216 |
+
## License and third-party data
|
| 217 |
+
|
| 218 |
+
The repository content is released under `apache-2.0`. ImageNet images are not included; users remain responsible for the terms of ImageNet and all upstream software or model assets.
|
| 219 |
+
|
| 220 |
+
## Citation
|
| 221 |
+
|
| 222 |
+
```bibtex
|
| 223 |
+
@inproceedings{tian2026encodingmismatch,
|
| 224 |
+
title = {From Per-Image Low-Rank to Encoding Mismatch:
|
| 225 |
+
Rethinking Feature Distillation in Vision Transformers},
|
| 226 |
+
author = {Tian, Huiyuan and Xu, Bonan and Li, Shijian},
|
| 227 |
+
booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
|
| 228 |
+
year = {2026}
|
| 229 |
+
}
|
| 230 |
+
```
|
data/manifest.csv
ADDED
|
@@ -0,0 +1,60 @@
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|
| 1 |
+
relative_path,file_type,size_bytes,sha256,recommended_loader
|
| 2 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,npz,1288003,a39d65a703d9e3500fc20b778577f578e57fa3940b8f399afb8ce4c0a25442d2,hf_hub_download + numpy.load(allow_pickle=False)
|
| 3 |
+
raw/cait/sep/sep_results.npz,npz,5457,83993dbd86038994ed481bbcefc46010364671a14debddc0b7cfa02a8a02007f,hf_hub_download + numpy.load(allow_pickle=False)
|
| 4 |
+
raw/cait/sep/sep_thresholds.csv,csv,218,f06309001009bf39fd565e64350d0578a291ee732c6daa6d45d294708c7ef69a,datasets.load_dataset or pandas.read_csv
|
| 5 |
+
raw/cait/svd/svd_results.npz,npz,42654,e42f86cbcc728100280cde6b4aaf66dd15e3ce32ed7c37b6a722a7a4b005a584,hf_hub_download + numpy.load(allow_pickle=False)
|
| 6 |
+
raw/comparison/sep/sep_comparison_table.csv,csv,1415,2e3dedcc9fab824b7afd715c6f7013d84ddfb5cefa928e09ab6a972843a1b5c2,datasets.load_dataset or pandas.read_csv
|
| 7 |
+
raw/comparison/svd_pca/svd_rank_table.md,md,1215,2cb6bdee3329cd996c8aa0b567b48eb24bb9006e5abca861c13e93f53f961b59,hf_hub_download
|
| 8 |
+
raw/comparison/svd_pca/svd_rank_table.tex,tex,1361,4c329b24e61fe60578e4d8b00cd48c378b400650c7c3ed9f972ff3594ad9cf34,hf_hub_download
|
| 9 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,npz,1309567,66b1c629f4212247c5b48cd36553911111938e525574997d05f8ce568c0969be,hf_hub_download + numpy.load(allow_pickle=False)
|
| 10 |
+
raw/deit_small/sep/sep_results.npz,npz,5465,c715edce4500aad0d27acafb2dda9a8ed4ab4f15ae067d178170084da783c7a4,hf_hub_download + numpy.load(allow_pickle=False)
|
| 11 |
+
raw/deit_small/sep/sep_thresholds.csv,csv,228,58ec0dba4fb589619c4fdf134e77070072a047f00d8674fc2874eb26e0c18503,datasets.load_dataset or pandas.read_csv
|
| 12 |
+
raw/deit_small/svd/svd_results.npz,npz,42654,15ee63b1f81c636917046ae3fe36858cd3952f9b1e6f495900133447dd4167e2,hf_hub_download + numpy.load(allow_pickle=False)
|
| 13 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,npz,2392755,09a9499ed8aca772c4b6a8edf800f78273ccbf4d17cf80fa03fbabde4ef60a86,hf_hub_download + numpy.load(allow_pickle=False)
|
| 14 |
+
raw/swin_small/sep/sep_results.npz,npz,8537,b04e791c227b7734054710608a1833f7e23c98c56e6b3e500cb00e4b2289b6e8,hf_hub_download + numpy.load(allow_pickle=False)
|
| 15 |
+
raw/swin_small/sep/sep_thresholds.csv,csv,228,70f49d860aacddc7bfccae07259d85590d87f5aa0a853dcc69a7d9ae92cbc3a5,datasets.load_dataset or pandas.read_csv
|
| 16 |
+
raw/swin_small/svd/svd_results.npz,npz,42654,599e9ffc099e35fc97be45789bb7015e5dc6619402a412a9026001be38490bfd,hf_hub_download + numpy.load(allow_pickle=False)
|
| 17 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,npz,2640628,b1708aba1a114e73a51a646fa57e847c91937ffe60860725bd4f36571d71b4e9,hf_hub_download + numpy.load(allow_pickle=False)
|
| 18 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,npz,14709,7c3dee387c6702e2c1370d7e0470a3710c35884120bfecb47dcb2c4b24e42b65,hf_hub_download + numpy.load(allow_pickle=False)
|
| 19 |
+
raw/vit_base_patch14_dinov2/sep/sep_thresholds.csv,csv,263,8bd05a3dd63c0376adae6992e32f65a7e166e935c724760a65bb410345a80a5d,datasets.load_dataset or pandas.read_csv
|
| 20 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,npz,42654,0fcab37df22be0d7ba98bb058e6ff6958a1d763ca9e6867112b490d0ed431470,hf_hub_download + numpy.load(allow_pickle=False)
|
| 21 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,npz,2630959,70d9e15f740d5af2c69bd2a7ebb3f2c2a0cd7e0b752b2a7d2eccda050038f6c0,hf_hub_download + numpy.load(allow_pickle=False)
|
| 22 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,npz,14701,f15850d92d2e132dbc9faa04c11b413a93efd6fe6d291cc7082d886aaf99ff48,hf_hub_download + numpy.load(allow_pickle=False)
|
| 23 |
+
raw/vit_base_patch16_224_dino/sep/sep_thresholds.csv,csv,253,959244d7ab7ca79d2d9dcc4c18cf27ce1158b63767548965871bf4674d82a25d,datasets.load_dataset or pandas.read_csv
|
| 24 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,npz,42654,1827e2bb0ae1eb5091ca393fcf77a3bd80ec3e6ef3bda0a7a5bf976978e1169d,hf_hub_download + numpy.load(allow_pickle=False)
|
| 25 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,npz,2428697,623e32f3c86c5cc5e189ea4f4d599c381ff44428acbcbca95c800c7a53ab147f,hf_hub_download + numpy.load(allow_pickle=False)
|
| 26 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,npz,14697,54d6c35c3aa8f90f4e20356d9b70cd0fce977474ed641d5de1ab8876db094f12,hf_hub_download + numpy.load(allow_pickle=False)
|
| 27 |
+
raw/vit_base_patch16_224_mae/sep/sep_thresholds.csv,csv,248,6794e9e79799b247a525de274a814bc4b2590598a4bdd9e3b442cf8928780776,datasets.load_dataset or pandas.read_csv
|
| 28 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,npz,42654,88c59373354855e5e88323f4d05c7f3e998ecafc9838a76d6017d9292960a473,hf_hub_download + numpy.load(allow_pickle=False)
|
| 29 |
+
raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,npz,2518772,4aa600a90d3dc9aecb858753682eef2722ab0ddfa032f8173bc64a8f27b6566f,hf_hub_download + numpy.load(allow_pickle=False)
|
| 30 |
+
raw/vit_base_patch16_clip_openai/sep/sep_results.npz,npz,14733,b0066717e083af366a3f07194d916a9f440106501bcd4853cf9d45b93ebe0683,hf_hub_download + numpy.load(allow_pickle=False)
|
| 31 |
+
raw/vit_base_patch16_clip_openai/sep/sep_thresholds.csv,csv,303,0c2183bafcc936608d7eaab58c61bc13cdf4578db1584f3a3d2e45b545e8cdfb,datasets.load_dataset or pandas.read_csv
|
| 32 |
+
raw/vit_base_patch16_clip_openai/svd/svd_results.npz,npz,42654,9fd6b17ed0ff958661611f8dabb93e601218cd3efba06c195750756f06c26a9e,hf_hub_download + numpy.load(allow_pickle=False)
|
| 33 |
+
raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,npz,4051217,7e6e2ac798a9b28ca625878b2ae4bbb69d7d95bfc1bc417dab4ef6ed76622949,hf_hub_download + numpy.load(allow_pickle=False)
|
| 34 |
+
raw/vit_huge_patch14_224_mae/sep/sep_results.npz,npz,12625,d72bdf42ff717ca136e3b80843e5ca966db8a23304899f324c683ac7f2157151,hf_hub_download + numpy.load(allow_pickle=False)
|
| 35 |
+
raw/vit_huge_patch14_224_mae/sep/sep_thresholds.csv,csv,225,e6ca450b9756ec3c602955ffc7c354efdb41b94ab1ac8fef389ae8ba335f3eab,datasets.load_dataset or pandas.read_csv
|
| 36 |
+
raw/vit_huge_patch14_224_mae/svd/svd_results.npz,npz,42654,b6230905a35080dfcd4bcc86628bc7265aab4ae5e3c132f76ec2dc67e8ec435e,hf_hub_download + numpy.load(allow_pickle=False)
|
| 37 |
+
raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,npz,3363574,6b90983d1d2a2797e5b85338b86b17e5f1acc4c11234aa266bfa991c3a2a000a,hf_hub_download + numpy.load(allow_pickle=False)
|
| 38 |
+
raw/vit_large_21k_in1k/sep/sep_results.npz,npz,10581,52e3dd818c5a7532a2694038c7ee722a4a758a6b8d6160f5fe029824daa78223,hf_hub_download + numpy.load(allow_pickle=False)
|
| 39 |
+
raw/vit_large_21k_in1k/sep/sep_thresholds.csv,csv,228,f501c9c642915f1b32bb36e1244de3edd83723ee73d8e931976451ada5287e02,datasets.load_dataset or pandas.read_csv
|
| 40 |
+
raw/vit_large_21k_in1k/svd/svd_results.npz,npz,42654,2879b7fb01fa3d2955b648c83ba95bfaf7d5afc241883890ccb5ef4f12e91530,hf_hub_download + numpy.load(allow_pickle=False)
|
| 41 |
+
raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,npz,3373103,46a7b6a0a721a8674f9ad6361c0015142633261c05d458f5bfe7a973f9c0ce4d,hf_hub_download + numpy.load(allow_pickle=False)
|
| 42 |
+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,npz,18833,dce714ff28f3f5392afd6706443dbb2012ab7b903a6cf377e26926320e73a31e,hf_hub_download + numpy.load(allow_pickle=False)
|
| 43 |
+
raw/vit_large_patch14_clip_openai/sep/sep_thresholds.csv,csv,313,f3e595e0ee3fe86e6fc514cdde3b5a6624022763affb67467aaf63631ee5c8dd,datasets.load_dataset or pandas.read_csv
|
| 44 |
+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,npz,42654,f5785d9252c4d787a293ab5efae80f2c6c559d135d69a6559e93c9a197e168cd,hf_hub_download + numpy.load(allow_pickle=False)
|
| 45 |
+
raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,npz,3525854,8b738f0c6b0af186531822147e06cc17039c5653f120fa8682c48b84b85d5cae,hf_hub_download + numpy.load(allow_pickle=False)
|
| 46 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,npz,18809,6a9895c560f0c6d93594864f2906b7fe48f7f273b59aa74552019591b997ab0f,hf_hub_download + numpy.load(allow_pickle=False)
|
| 47 |
+
raw/vit_large_patch14_dinov2/sep/sep_thresholds.csv,csv,273,8d1406a019341b249e6e7cfcaafe8c6353d9dcc7637a75dac19e33a6483c9fbc,datasets.load_dataset or pandas.read_csv
|
| 48 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,npz,42654,9992f47eb72eaeeede4d3749940e83495da3a2794d9baca4ce9803cd54c02985,hf_hub_download + numpy.load(allow_pickle=False)
|
| 49 |
+
raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,npz,3214625,73e1f29d696400076a1ddc6f45c9e0aed65e0a2a45d585892c0d078604c7436b,hf_hub_download + numpy.load(allow_pickle=False)
|
| 50 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,npz,18797,a7db849019b02dbd71d824b9310d645cfd820defd26ec73a0479a4cf370eb46e,hf_hub_download + numpy.load(allow_pickle=False)
|
| 51 |
+
raw/vit_large_patch16_224_mae/sep/sep_thresholds.csv,csv,258,fd2ea9877c2a3096978e347e72e210f3e51453295dca65d09e43ce099b82ff5a,datasets.load_dataset or pandas.read_csv
|
| 52 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,npz,42654,3f9f2f8993a3a90805447827194c9095e2fb296925cc4aa80cf7eeccccc64644,hf_hub_download + numpy.load(allow_pickle=False)
|
| 53 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,npz,1335195,8bf885577025975d1ab8f81d7c036d4a7e964d768dbee23a5cf9304d55c9ff0e,hf_hub_download + numpy.load(allow_pickle=False)
|
| 54 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,npz,8561,ba59a687394db6825ff95566ce1f19abfccdf383e5deec0ac42c82c554858dad,hf_hub_download + numpy.load(allow_pickle=False)
|
| 55 |
+
raw/vit_small_patch16_224_dino/sep/sep_thresholds.csv,csv,258,7e5f8399a9482eacb8dbf221c397830fdeb65c2d4dc718948ae0829bd872ea98,datasets.load_dataset or pandas.read_csv
|
| 56 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,npz,42654,d4c5a01e45837eb2ef108137d5120cbaf1cf735a858b9643c792d5454bdb14f0,hf_hub_download + numpy.load(allow_pickle=False)
|
| 57 |
+
raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,npz,601835,c73a9aafd070f46f36618215ab5787d68475823db90bb49bc0e5d0ae02e4ef20,hf_hub_download + numpy.load(allow_pickle=False)
|
| 58 |
+
raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,npz,3921,3853711d0c0db347e64e4b586327bfa458df143b129a423280f30e17b8adfbf5,hf_hub_download + numpy.load(allow_pickle=False)
|
| 59 |
+
raw/vit_tiny_patch16_224_21k/sep/sep_thresholds.csv,csv,217,00ddffc33f2fff82eee6c317ea191904bb991d0e0dd9ddc09e0216e665b38a69,datasets.load_dataset or pandas.read_csv
|
| 60 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,npz,42654,8c58847b7f53b911c90de8ade9aa4f3203688ebbd5ffa538dce444def3d2ac14,hf_hub_download + numpy.load(allow_pickle=False)
|
data/npz_array_catalog.csv
ADDED
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@@ -0,0 +1,337 @@
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|
| 1 |
+
source_file,array_key,dtype,shape,ndim,num_elements,min,max,mean,std,preview,inspection_error
|
| 2 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,eigvals,float32,[384],1,384,0.8632233142852783,4197.29296875,21.16612834762782,215.7700511674661,"[4197.29296875,519.3544311523438,338.9620666503906,97.92402648925781,67.77082061767578,46.61568832397461,38.63801193237305,33.368133544921875,31.84065055847168,30.321025848388672,27.911102294921875,25.753742218017578]",
|
| 3 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,384]",2,384000,0.25178083777427673,1.000001072883606,0.8759559307152716,0.10927470932490588,"[0.42574140429496765,0.49505987763404846,0.544715166091919,0.5566020011901855,0.5636621117591858,0.568270206451416,0.5699759721755981,0.5714958310127258,0.5746860504150391,0.5784827470779419,0.5886979103088379,0.5913738012313843]",
|
| 4 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 5 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,feature_dir,<U33,[],0,1,,,,,"[""Output/cait/features/cait_s24_224""]",
|
| 6 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 7 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 8 |
+
raw/cait/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 9 |
+
raw/cait/sep/sep_results.npz,model_name,<U8,[],0,1,,,,,"[""CaiT-S24""]",
|
| 10 |
+
raw/cait/sep/sep_results.npz,model_dim,int64,[],0,1,384.0,384.0,384.0,0.0,[384],
|
| 11 |
+
raw/cait/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 12 |
+
raw/cait/sep/sep_results.npz,mean_ecg_curve,float32,[384],1,384,0.2558782994747162,100.0,50.12822553445585,28.784440067412966,"[0.2558782994747162,0.46389466524124146,0.8054825663566589,1.0283628702163696,1.272743582725525,1.5807465314865112,1.8840382099151611,2.101076126098633,2.3359501361846924,2.604628562927246,2.8386189937591553,3.1011228561401367]",
|
| 13 |
+
raw/cait/sep/sep_results.npz,std_ecg_curve,float32,[384],1,384,3.0100176445557736e-05,1.6810896396636963,1.327186111049907,0.35963913315280677,"[0.359954833984375,0.4100440442562103,0.5199171304702759,0.5635873675346375,0.599751353263855,0.6574873328208923,0.7029173970222473,0.7271110415458679,0.7611539959907532,0.7885391712188721,0.8222579956054688,0.8606467247009277]",
|
| 14 |
+
raw/cait/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 15 |
+
raw/cait/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 16 |
+
raw/cait/svd/svd_results.npz,dims_99,int64,[1000],1,1000,30.0,129.0,84.598,16.389520920393007,"[65,61,71,83,78,88,85,89,80,88,79,82]",
|
| 17 |
+
raw/cait/svd/svd_results.npz,dims_95,int64,[1000],1,1000,6.0,70.0,29.119,11.210300575809732,"[17,11,19,26,23,30,28,31,22,29,23,27]",
|
| 18 |
+
raw/cait/svd/svd_results.npz,dims_90,int64,[1000],1,1000,3.0,42.0,13.264,6.511858720826182,"[8,3,8,12,9,13,13,14,8,11,8,12]",
|
| 19 |
+
raw/cait/svd/svd_results.npz,dims_80,int64,[1000],1,1000,2.0,19.0,5.099,2.390648238449145,"[3,2,3,4,3,5,5,5,3,4,3,5]",
|
| 20 |
+
raw/cait/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
|
| 21 |
+
raw/cait/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,121.00999999999999,121.00999999999999,121.00999999999999,0.0,[121.00999999999999],
|
| 22 |
+
raw/cait/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,61.0,61.0,61.0,0.0,[61.0],
|
| 23 |
+
raw/cait/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,34.0,34.0,34.0,0.0,[34.0],
|
| 24 |
+
raw/cait/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,14.0,14.0,14.0,0.0,[14.0],
|
| 25 |
+
raw/cait/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
|
| 26 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,eigvals,float32,[384],1,384,0.3320026993751526,614.671630859375,4.686024418566376,32.14207891538653,"[614.671630859375,146.96302795410156,35.36835479736328,24.37955665588379,18.334470748901367,14.581208229064941,12.464447021484375,11.620420455932617,11.22860336303711,9.864151000976562,8.945028305053711,8.37617015838623]",
|
| 27 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,384]",2,384000,0.18561796844005585,1.000001311302185,0.8084405352969964,0.15421548366601767,"[0.2610866129398346,0.3231148421764374,0.3426550328731537,0.35348713397979736,0.3596113920211792,0.36706700921058655,0.37159159779548645,0.3768051564693451,0.3842197060585022,0.386849045753479,0.3904670178890228,0.39621564745903015]",
|
| 28 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 29 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,feature_dir,<U49,[],0,1,,,,,"[""Output/deit_small/features/deit_small_patch16_224""]",
|
| 30 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 31 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 32 |
+
raw/deit_small/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 33 |
+
raw/deit_small/sep/sep_results.npz,model_name,<U10,[],0,1,,,,,"[""DeiT-Small""]",
|
| 34 |
+
raw/deit_small/sep/sep_results.npz,model_dim,int64,[],0,1,384.0,384.0,384.0,0.0,[384],
|
| 35 |
+
raw/deit_small/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 36 |
+
raw/deit_small/sep/sep_results.npz,mean_ecg_curve,float32,[384],1,384,0.09935469925403595,100.0,50.05014142304814,29.086963553581604,"[0.09935469925403595,0.30900144577026367,0.5913013219833374,0.816034734249115,1.0553207397460938,1.2598644495010376,1.4978703260421753,1.878188967704773,2.191202402114868,2.414259672164917,2.640291690826416,2.835623025894165]",
|
| 37 |
+
raw/deit_small/sep/sep_results.npz,std_ecg_curve,float32,[384],1,384,3.0171471735229716e-05,1.7497644424438477,1.320540143517358,0.3922047192233786,"[0.17700745165348053,0.26695722341537476,0.3622637689113617,0.42525720596313477,0.47977781295776367,0.5257149934768677,0.5610959529876709,0.6437510848045349,0.7027704119682312,0.7209590673446655,0.7489290833473206,0.7696295976638794]",
|
| 38 |
+
raw/deit_small/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 39 |
+
raw/deit_small/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 40 |
+
raw/deit_small/svd/svd_results.npz,dims_99,int64,[1000],1,1000,48.0,151.0,120.363,14.809565523674218,"[119,112,117,122,122,123,130,123,116,127,106,115]",
|
| 41 |
+
raw/deit_small/svd/svd_results.npz,dims_95,int64,[1000],1,1000,12.0,96.0,58.971,14.5959637914048,"[56,44,54,59,58,61,69,63,51,62,42,58]",
|
| 42 |
+
raw/deit_small/svd/svd_results.npz,dims_90,int64,[1000],1,1000,6.0,66.0,32.518,11.390420360987562,"[29,18,27,31,29,34,40,36,24,33,20,32]",
|
| 43 |
+
raw/deit_small/svd/svd_results.npz,dims_80,int64,[1000],1,1000,2.0,36.0,12.938,6.2043658821832866,"[10,4,9,11,8,13,17,14,6,11,6,12]",
|
| 44 |
+
raw/deit_small/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
|
| 45 |
+
raw/deit_small/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,146.0,146.0,146.0,0.0,[146.0],
|
| 46 |
+
raw/deit_small/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,89.0,89.0,89.0,0.0,[89.0],
|
| 47 |
+
raw/deit_small/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,59.0,59.0,59.0,0.0,[59.0],
|
| 48 |
+
raw/deit_small/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,30.0,30.0,30.0,0.0,[30.0],
|
| 49 |
+
raw/deit_small/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
|
| 50 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,eigvals,float32,[768],1,768,0.05600053444504738,17063.37109375,25.54136207339373,616.2687577217376,"[17063.37109375,1002.3307495117188,92.44172668457031,39.63358688354492,15.01027774810791,13.301913261413574,10.124707221984863,7.868560314178467,7.240697860717773,6.759310245513916,6.259120464324951,5.923573970794678]",
|
| 51 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,768]",2,768000,0.5122746825218201,1.000002145767212,0.9732759316475906,0.032811880847124546,"[0.8012368679046631,0.8708899021148682,0.874571681022644,0.8756592273712158,0.8760961294174194,0.8765965104103088,0.8771275877952576,0.8773198127746582,0.8775684833526611,0.8788141012191772,0.8789689540863037,0.8791666030883789]",
|
| 52 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,49000.0,49000.0,49000.0,0.0,[49000],
|
| 53 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,feature_dir,<U64,[],0,1,,,,,"[""Output/swin_small/features/swin_small_patch4_window7_224.ms_in1k""]",
|
| 54 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 55 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 56 |
+
raw/swin_small/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 57 |
+
raw/swin_small/sep/sep_results.npz,model_name,<U10,[],0,1,,,,,"[""Swin-Small""]",
|
| 58 |
+
raw/swin_small/sep/sep_results.npz,model_dim,int64,[],0,1,768.0,768.0,768.0,0.0,[768],
|
| 59 |
+
raw/swin_small/sep/sep_results.npz,num_tokens,int64,[],0,1,49000.0,49000.0,49000.0,0.0,[49000],
|
| 60 |
+
raw/swin_small/sep/sep_results.npz,mean_ecg_curve,float32,[768],1,768,0.04173124209046364,100.0,50.02095281505899,28.942811990000433,"[0.04173124209046364,0.14280807971954346,0.19064973294734955,0.3086443841457367,0.5627533197402954,0.6910762786865234,0.7302086353302002,0.878612220287323,1.0533270835876465,1.165065884590149,1.2104895114898682,1.3207851648330688]",
|
| 61 |
+
raw/swin_small/sep/sep_results.npz,std_ecg_curve,float32,[768],1,768,4.227215322316624e-05,0.6742743253707886,0.5319518935252793,0.14928039665045661,"[0.02482353150844574,0.0632721558213234,0.08104348182678223,0.10372737050056458,0.143997922539711,0.16225002706050873,0.16433392465114594,0.18104207515716553,0.2048775851726532,0.2039681077003479,0.21152633428573608,0.21593718230724335]",
|
| 62 |
+
raw/swin_small/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 63 |
+
raw/swin_small/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 64 |
+
raw/swin_small/svd/svd_results.npz,dims_99,int64,[1000],1,1000,3.0,35.0,10.331,7.420609072037147,"[9,3,3,8,4,9,7,21,3,5,4,15]",
|
| 65 |
+
raw/swin_small/svd/svd_results.npz,dims_95,int64,[1000],1,1000,2.0,18.0,3.235,2.5051496961259625,"[2,2,2,2,2,3,2,6,2,2,2,4]",
|
| 66 |
+
raw/swin_small/svd/svd_results.npz,dims_90,int64,[1000],1,1000,1.0,10.0,1.815,1.2168709874099228,"[2,1,1,2,1,2,1,3,1,1,1,2]",
|
| 67 |
+
raw/swin_small/svd/svd_results.npz,dims_80,int64,[1000],1,1000,1.0,5.0,1.124,0.4249988235277834,"[1,1,1,1,1,1,1,1,1,1,1,1]",
|
| 68 |
+
raw/swin_small/svd/svd_results.npz,ranks,int64,[1000],1,1000,49.0,49.0,49.0,0.0,"[49,49,49,49,49,49,49,49,49,49,49,49]",
|
| 69 |
+
raw/swin_small/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,33.00999999999999,33.00999999999999,33.00999999999999,0.0,[33.00999999999999],
|
| 70 |
+
raw/swin_small/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,15.0,15.0,15.0,0.0,[15.0],
|
| 71 |
+
raw/swin_small/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,7.009999999999991,7.009999999999991,7.009999999999991,0.0,[7.009999999999991],
|
| 72 |
+
raw/swin_small/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,3.0,3.0,3.0,0.0,[3.0],
|
| 73 |
+
raw/swin_small/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,49.0,49.0,49.0,0.0,[49.0],
|
| 74 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,eigvals,float32,[768],1,768,0.06620661914348602,490.70367431640625,4.19729392156781,19.113694184698556,"[490.70367431640625,187.33590698242188,38.30595016479492,34.121185302734375,28.212738037109375,24.770877838134766,22.466289520263672,19.04132843017578,18.635177612304688,17.022371292114258,16.80027198791504,15.595611572265625]",
|
| 75 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,768]",2,768000,0.03703666478395462,1.000002145767212,0.7875449597721744,0.19942781859576122,"[0.15544067323207855,0.2076522558927536,0.21628594398498535,0.22782041132450104,0.23612254858016968,0.24361552298069,0.244823157787323,0.25253257155418396,0.25717586278915405,0.2589546740055084,0.2618282437324524,0.2682926058769226]",
|
| 76 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 77 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,feature_dir,<U71,[],0,1,,,,,"[""Output/vit_base_patch14_dinov2/features/vit_base_patch14_dinov2.lvd142m""]",
|
| 78 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 79 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 80 |
+
raw/vit_base_patch14_dinov2/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 81 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,model_name,<U17,[],0,1,,,,,"[""ViT-Base (DINOv2)""]",
|
| 82 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,model_dim,int64,[],0,1,768.0,768.0,768.0,0.0,[768],
|
| 83 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,num_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 84 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,mean_ecg_curve,float64,[768],1,768,0.16903075005486606,100.0,50.08451558135897,28.796555561931783,"[0.16903075005486606,0.2874993460252881,0.43560836340487,0.5630431812703609,0.7009440864622593,0.8180570512413978,0.9349014003872871,1.0539077236652374,1.191706129193306,1.325613060772419,1.4720489637851715,1.6049472877979278]",
|
| 85 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,std_ecg_curve,float64,[768],1,768,0.0,1.4044342800479865,1.074672145952151,0.2651480233017013,"[0.6816956534846451,0.687325196300669,0.7025495718457037,0.7138129698265175,0.7296637981527083,0.7343775611472729,0.742131002033862,0.7537175863489156,0.7631484270737454,0.7705705972846102,0.7852402422219391,0.7941618245799165]",
|
| 86 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 87 |
+
raw/vit_base_patch14_dinov2/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 88 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,dims_99,int64,[1000],1,1000,52.0,152.0,113.057,16.511745849546013,"[117,78,124,120,121,108,87,113,104,116,87,116]",
|
| 89 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,dims_95,int64,[1000],1,1000,14.0,72.0,43.002,11.000454354252827,"[50,18,48,47,50,37,26,42,35,41,26,46]",
|
| 90 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,dims_90,int64,[1000],1,1000,7.0,43.0,23.244,6.97197705102362,"[29,8,24,25,28,19,14,24,18,21,13,26]",
|
| 91 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,dims_80,int64,[1000],1,1000,3.0,21.0,10.802,3.5917678098674477,"[14,3,11,12,13,8,7,11,9,10,5,12]",
|
| 92 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,ranks,int64,[1000],1,1000,256.0,256.0,256.0,0.0,"[256,256,256,256,256,256,256,256,256,256,256,256]",
|
| 93 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,146.01999999999998,146.01999999999998,146.01999999999998,0.0,[146.01999999999998],
|
| 94 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,67.0,67.0,67.0,0.0,[67.0],
|
| 95 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,39.00999999999999,39.00999999999999,39.00999999999999,0.0,[39.00999999999999],
|
| 96 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,19.0,19.0,19.0,0.0,[19.0],
|
| 97 |
+
raw/vit_base_patch14_dinov2/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,256.0,256.0,256.0,0.0,[256.0],
|
| 98 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,eigvals,float32,[768],1,768,0.05315910652279854,142.23866271972656,0.7067318813302942,5.171260963897364,"[142.23866271972656,16.104379653930664,6.476834774017334,5.004822731018066,4.779844284057617,4.135668754577637,3.8058714866638184,3.33723783493042,3.141721487045288,2.890317440032959,2.8198587894439697,2.636077404022217]",
|
| 99 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,768]",2,768000,0.150770902633667,1.0000019073486328,0.7976212040490936,0.17450049239838195,"[0.20506294071674347,0.22755300998687744,0.23115459084510803,0.2376253306865692,0.24212230741977692,0.24474959075450897,0.2512824535369873,0.25767379999160767,0.26093804836273193,0.26837748289108276,0.2720797657966614,0.27544933557510376]",
|
| 100 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 101 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,feature_dir,<U67,[],0,1,,,,,"[""Output/vit_base_patch16_224_dino/features/vit_base_patch16_224.dino""]",
|
| 102 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 103 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 104 |
+
raw/vit_base_patch16_224_dino/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 105 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,model_name,<U15,[],0,1,,,,,"[""ViT-Base (DINO)""]",
|
| 106 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,model_dim,int64,[],0,1,768.0,768.0,768.0,0.0,[768],
|
| 107 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 108 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,mean_ecg_curve,float64,[768],1,768,0.805379118354953,100.0,50.402689674046314,28.627117283323077,"[0.805379118354953,0.9173577878134591,1.0421154219568993,1.1871809186351543,1.317506717136928,1.5179048102242605,1.6656374053955079,1.768724710347701,1.9439436226669622,2.0660555273562062,2.256912375625299,2.356886292438118]",
|
| 109 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,std_ecg_curve,float64,[768],1,768,0.0,1.2323660319699574,0.9697726836159783,0.2519208895165821,"[0.3942071634813695,0.40204209194035867,0.4188909895591482,0.4480171738919313,0.4574468938431656,0.48625254269101165,0.5011978342347309,0.5047847731177088,0.5393898211851343,0.5523776324627689,0.5765892832282511,0.584052886055488]",
|
| 110 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 111 |
+
raw/vit_base_patch16_224_dino/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 112 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,dims_99,int64,[1000],1,1000,58.0,168.0,140.339,17.00999938271604,"[140,144,140,149,147,134,146,132,148,152,147,125]",
|
| 113 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,dims_95,int64,[1000],1,1000,21.0,116.0,79.334,16.032418532461033,"[73,72,81,86,84,80,80,72,84,89,86,69]",
|
| 114 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,dims_90,int64,[1000],1,1000,11.0,82.0,48.066,12.711476861482303,"[41,37,51,52,50,50,47,43,51,55,53,41]",
|
| 115 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,dims_80,int64,[1000],1,1000,4.0,45.0,21.41,7.286144385064024,"[17,10,23,22,21,22,20,19,22,23,24,17]",
|
| 116 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
|
| 117 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,165.0,165.0,165.0,0.0,[165.0],
|
| 118 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,109.00999999999999,109.00999999999999,109.00999999999999,0.0,[109.00999999999999],
|
| 119 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,75.0,75.0,75.0,0.0,[75.0],
|
| 120 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,39.0,39.0,39.0,0.0,[39.0],
|
| 121 |
+
raw/vit_base_patch16_224_dino/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
|
| 122 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,eigvals,float32,[768],1,768,0.2777171730995178,21473.7421875,32.207056776310004,774.2670651381129,"[21473.7421875,134.6244354248047,99.0455322265625,88.91348266601562,86.2066879272461,71.4201431274414,66.24691772460938,57.27861404418945,42.67860412597656,40.88973617553711,37.928794860839844,35.69540786743164]",
|
| 123 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,768]",2,768000,0.7935987114906311,1.0000027418136597,0.9725950235163328,0.026071255280758345,"[0.8708223700523376,0.8735145926475525,0.8772817254066467,0.8812305927276611,0.8841524124145508,0.8855645060539246,0.888956606388092,0.8917425274848938,0.8922131061553955,0.8939158320426941,0.8952487707138062,0.8970608711242676]",
|
| 124 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 125 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,feature_dir,<U65,[],0,1,,,,,"[""Output/vit_base_patch16_224_mae/features/vit_base_patch16_224.mae""]",
|
| 126 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 127 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 128 |
+
raw/vit_base_patch16_224_mae/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 129 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,model_name,<U14,[],0,1,,,,,"[""ViT-Base (MAE)""]",
|
| 130 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,model_dim,int64,[],0,1,768.0,768.0,768.0,0.0,[768],
|
| 131 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,num_tokens,int64,[],0,1,196.0,196.0,196.0,0.0,[196],
|
| 132 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,mean_ecg_curve,float64,[768],1,768,1.7816937504982462,100.0,50.89084427008012,28.813730002567763,"[1.7816937504982462,1.9911941216916453,2.0199855882294324,2.039439921476403,2.1896449497767856,2.276088169642857,2.3550077165876115,2.4615193581094545,2.6736415940888074,2.778637944435587,3.065434047154018,3.1822378976004466]",
|
| 133 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,std_ecg_curve,float64,[768],1,768,0.0,0.6958445931915538,0.5279787893545341,0.12216612210927263,"[0.49767676297620667,0.4900382887775167,0.4962087161817273,0.49680815376287346,0.4987141874222295,0.5042816680350661,0.5060140532593611,0.514143348655947,0.5368886183515789,0.5455661325712216,0.5539669203859091,0.5574119926673903]",
|
| 134 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 135 |
+
raw/vit_base_patch16_224_mae/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 136 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,dims_99,int64,[1000],1,1000,22.0,118.0,85.41,15.46246746156641,"[91,85,87,95,93,81,83,82,96,106,46,80]",
|
| 137 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,dims_95,int64,[1000],1,1000,2.0,36.0,16.757,6.744772123652511,"[16,12,17,18,17,16,16,16,20,26,3,17]",
|
| 138 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,dims_90,int64,[1000],1,1000,1.0,9.0,2.834,1.4968112773492857,"[2,1,3,3,2,3,3,3,4,3,1,3]",
|
| 139 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,dims_80,int64,[1000],1,1000,1.0,1.0,1.0,0.0,"[1,1,1,1,1,1,1,1,1,1,1,1]",
|
| 140 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
|
| 141 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,113.0,113.0,113.0,0.0,[113.0],
|
| 142 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,34.0,34.0,34.0,0.0,[34.0],
|
| 143 |
+
raw/vit_base_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,7.0,7.0,7.0,0.0,[7.0],
|
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raw/vit_base_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,1.0,1.0,1.0,0.0,[1.0],
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raw/vit_base_patch16_224_mae/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,eigvals,float32,[768],1,768,0.017319658771157265,217.33309936523438,0.5328800385468639,8.512574492173469,"[217.33309936523438,92.66366577148438,4.1707611083984375,2.226544141769409,2.0992136001586914,1.4916349649429321,1.2629910707473755,0.9676192998886108,0.8734559416770935,0.8163024187088013,0.745363175868988,0.7306092381477356]",
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,768]",2,768000,0.36960333585739136,1.0000020265579224,0.9348716211865346,0.0606439119556352,"[0.540858268737793,0.7549343705177307,0.7612472772598267,0.7628414034843445,0.7638509273529053,0.7678597569465637,0.7721507549285889,0.7754811644554138,0.7769970297813416,0.7788848876953125,0.780002236366272,0.7819147706031799]",
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,feature_dir,<U77,[],0,1,,,,,"[""Output/vit_base_patch16_clip_openai/features/vit_base_patch16_clip_224.openai""]",
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
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raw/vit_base_patch16_clip_openai/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
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| 153 |
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,model_name,<U23,[],0,1,,,,,"[""ViT-Base (CLIP, OpenAI)""]",
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,model_dim,int64,[],0,1,768.0,768.0,768.0,0.0,[768],
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,mean_ecg_curve,float64,[768],1,768,0.16164430856704712,100.0,50.080822472850365,28.88262245121289,"[0.16164430856704712,0.35917760736115123,0.47710875458620033,0.5640326902428452,0.6973969006051822,0.7783002889204998,0.9007218273318544,1.0587314382280621,1.1964777406186473,1.2715615785559828,1.3569453843564403,1.502619782739756]",
|
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,std_ecg_curve,float64,[768],1,768,0.0013832085183884007,1.0954630891516832,0.8393937969092278,0.23596633601790093,"[0.17870106097021185,0.22719019926284872,0.24102343085324468,0.2506443926546884,0.2768999931263992,0.28101242661330683,0.29737946702353213,0.3200611075067764,0.3381198400088858,0.34346406680679403,0.3484203381040023,0.37621151313093865]",
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
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raw/vit_base_patch16_clip_openai/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,dims_99,int64,[1000],1,1000,37.0,144.0,105.018,16.242649906957915,"[105,98,90,112,98,103,94,114,116,110,110,100]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,dims_95,int64,[1000],1,1000,4.0,72.0,31.189,12.26830383549413,"[27,19,17,35,21,26,21,36,38,31,29,29]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,dims_90,int64,[1000],1,1000,2.0,35.0,10.148,5.711575614486777,"[8,4,4,11,5,7,6,11,13,8,6,10]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,dims_80,int64,[1000],1,1000,2.0,8.0,2.482,0.9621205745643318,"[2,2,2,2,2,2,2,2,3,2,2,3]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,135.0,135.0,135.0,0.0,[135.0],
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,60.00999999999999,60.00999999999999,60.00999999999999,0.0,[60.00999999999999],
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,27.0,27.0,27.0,0.0,[27.0],
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,6.0,6.0,6.0,0.0,[6.0],
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raw/vit_base_patch16_clip_openai/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,eigvals,float32,[1280],1,1280,0.323792040348053,93176.390625,85.67833634591662,2603.3101985767466,"[93176.390625,801.1845092773438,563.1676635742188,493.85125732421875,458.6100158691406,318.5654296875,315.9028625488281,295.4286193847656,244.29466247558594,236.7884521484375,226.5779571533203,217.895751953125]",
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,1280]",2,1280000,0.7870301604270935,1.000002145767212,0.973112571117701,0.02573729538423775,"[0.8530587553977966,0.8568083047866821,0.8611456155776978,0.8629839420318604,0.8645513653755188,0.8666605949401855,0.8708130121231079,0.8751769065856934,0.8769611120223999,0.8783289790153503,0.8804857134819031,0.8822999596595764]",
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,feature_dir,<U65,[],0,1,,,,,"[""Output/vit_huge_patch14_224_mae/features/vit_huge_patch14_224.mae""]",
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
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raw/vit_huge_patch14_224_mae/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,model_name,<U8,[],0,1,,,,,"[""ViT-Huge""]",
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,model_dim,int64,[],0,1,1280.0,1280.0,1280.0,0.0,[1280],
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| 179 |
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,num_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 180 |
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,mean_ecg_curve,float32,[1280],1,1280,1.3522546291351318,100.0,50.67675399333238,28.469900890404816,"[1.3522546291351318,1.4535197019577026,1.525275468826294,1.5937238931655884,1.6211063861846924,1.7011100053787231,1.787698745727539,1.8600205183029175,1.9437294006347656,2.0063891410827637,2.0798933506011963,2.164325475692749]",
|
| 181 |
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,std_ecg_curve,float32,[1280],1,1280,5.15198553330265e-05,0.5891832709312439,0.4472056204678836,0.09437282969522072,"[0.41168835759162903,0.4091249704360962,0.4089398682117462,0.40054306387901306,0.40238460898399353,0.40320050716400146,0.4046388864517212,0.4065847396850586,0.4067124128341675,0.4051068425178528,0.4131699204444885,0.4127212464809418]",
|
| 182 |
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 183 |
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raw/vit_huge_patch14_224_mae/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 184 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,dims_99,int64,[1000],1,1000,40.0,170.0,128.71,20.472613414022156,"[133,118,134,129,133,129,132,126,139,145,68,123]",
|
| 185 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,dims_95,int64,[1000],1,1000,3.0,63.0,30.913,11.135323569613952,"[31,21,35,28,33,34,32,29,34,37,4,29]",
|
| 186 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,dims_90,int64,[1000],1,1000,1.0,18.0,5.941,3.136481946385153,"[4,2,7,4,5,8,8,6,5,6,1,5]",
|
| 187 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,dims_80,int64,[1000],1,1000,1.0,1.0,1.0,0.0,"[1,1,1,1,1,1,1,1,1,1,1,1]",
|
| 188 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,ranks,int64,[1000],1,1000,256.0,256.0,256.0,0.0,"[256,256,256,256,256,256,256,256,256,256,256,256]",
|
| 189 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,164.01,164.01,164.01,0.0,[164.01],
|
| 190 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,58.0,58.0,58.0,0.0,[58.0],
|
| 191 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,15.0,15.0,15.0,0.0,[15.0],
|
| 192 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,1.0,1.0,1.0,0.0,[1.0],
|
| 193 |
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raw/vit_huge_patch14_224_mae/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,256.0,256.0,256.0,0.0,[256.0],
|
| 194 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,eigvals,float32,[1024],1,1024,0.2177211195230484,10381.7236328125,21.114062999127782,355.47200024453963,"[10381.7236328125,4661.26953125,457.9786376953125,200.20901489257812,141.67259216308594,56.99817657470703,51.8039436340332,45.245635986328125,41.204368591308594,38.49912643432617,37.16419219970703,34.69452667236328]",
|
| 195 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,1024]",2,1024000,0.22637227177619934,1.0000028610229492,0.92543392440342,0.07535169760366926,"[0.4369102418422699,0.6435741782188416,0.6631174087524414,0.6727539896965027,0.6768222451210022,0.6771496534347534,0.6786343455314636,0.6802544593811035,0.6816123723983765,0.6836469173431396,0.6840057969093323,0.6845893859863281]",
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| 196 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 197 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,feature_dir,<U77,[],0,1,,,,,"[""Output/vit_large_21k_in1k/features/vit_large_patch16_224.augreg_in21k_ft_in1k""]",
|
| 198 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 199 |
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
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raw/vit_large_21k_in1k/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 201 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,model_name,<U9,[],0,1,,,,,"[""ViT-Large""]",
|
| 202 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,model_dim,int64,[],0,1,1024.0,1024.0,1024.0,0.0,[1024],
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| 203 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 204 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,mean_ecg_curve,float32,[1024],1,1024,0.1396544724702835,100.0,50.07020823385392,28.908596356526186,"[0.1396544724702835,0.24158570170402527,0.3368900418281555,0.4320586025714874,0.5234603881835938,0.6100082397460938,0.7014572024345398,0.7857596278190613,0.8864167928695679,0.9781538844108582,1.0756664276123047,1.1629828214645386]",
|
| 205 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,std_ecg_curve,float32,[1024],1,1024,4.8328398406738415e-05,1.0696039199829102,0.8575097352697618,0.21713694582012774,"[0.14209705591201782,0.18166816234588623,0.20592254400253296,0.22851736843585968,0.24471965432167053,0.25729313492774963,0.27053123712539673,0.284415066242218,0.30623099207878113,0.33152639865875244,0.3364305794239044,0.3553523123264313]",
|
| 206 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 207 |
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raw/vit_large_21k_in1k/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 208 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,dims_99,int64,[1000],1,1000,19.0,126.0,70.12,19.48480433568682,"[73,55,45,66,61,59,86,66,57,44,51,72]",
|
| 209 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,dims_95,int64,[1000],1,1000,4.0,50.0,13.996,7.976965839214808,"[13,5,5,10,7,8,19,12,8,5,7,15]",
|
| 210 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,dims_90,int64,[1000],1,1000,3.0,22.0,5.77,2.9211470349847164,"[5,3,3,4,3,3,8,4,4,3,3,7]",
|
| 211 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,dims_80,int64,[1000],1,1000,2.0,6.0,3.084,0.5665191964973474,"[3,3,2,3,2,2,3,3,3,2,3,3]",
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| 212 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
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raw/vit_large_21k_in1k/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,115.0,115.0,115.0,0.0,[115.0],
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| 214 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,39.00999999999999,39.00999999999999,39.00999999999999,0.0,[39.00999999999999],
|
| 215 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,16.0,16.0,16.0,0.0,[16.0],
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| 216 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,5.0,5.0,5.0,0.0,[5.0],
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| 217 |
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raw/vit_large_21k_in1k/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
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| 218 |
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,eigvals,float32,[1024],1,1024,0.047585297375917435,316.7818603515625,0.8541750698641408,12.815857640910268,"[316.7818603515625,257.5013427734375,42.6062126159668,13.078221321105957,10.664233207702637,5.591135025024414,4.654994487762451,3.5098226070404053,3.0716476440429688,2.8396260738372803,2.563123941421509,2.0648770332336426]",
|
| 219 |
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,1024]",2,1024000,0.2430848628282547,1.0000022649765015,0.92299127402452,0.06914841893742327,"[0.3508891761302948,0.6549285650253296,0.7026335000991821,0.715332567691803,0.7257113456726074,0.7312645316123962,0.735237717628479,0.7398099899291992,0.7429379224777222,0.7446429133415222,0.7472162246704102,0.7498095631599426]",
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| 220 |
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,feature_dir,<U79,[],0,1,,,,,"[""Output/vit_large_patch14_clip_openai/features/vit_large_patch14_clip_224.openai""]",
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
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raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
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+
raw/vit_large_patch14_clip_openai/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
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| 225 |
+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,model_name,<U24,[],0,1,,,,,"[""ViT-Large (CLIP, OpenAI)""]",
|
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+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,model_dim,int64,[],0,1,1024.0,1024.0,1024.0,0.0,[1024],
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+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,num_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 228 |
+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,mean_ecg_curve,float64,[1024],1,1024,0.22810279154404997,100.0,50.11405199114234,28.887768883372555,"[0.22810279154404997,0.30342494618147614,0.3689986233264208,0.43330511802434923,0.5825007557868958,0.6971287202835083,0.7712177807092666,0.8689068186879157,0.9359805970788002,0.9968567081093788,1.1459186685681344,1.3033781707286836]",
|
| 229 |
+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,std_ecg_curve,float64,[1024],1,1024,0.0,1.1954959991892857,0.8532051129461304,0.23246192033168642,"[0.5287585425313771,0.5338006101280737,0.5368724495895986,0.5385078043722676,0.5471188270137172,0.5553183961464997,0.5605898725578129,0.5696551298321376,0.573545926728257,0.5775367967094895,0.5884641948579583,0.5979695399708673]",
|
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+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 231 |
+
raw/vit_large_patch14_clip_openai/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 232 |
+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,dims_99,int64,[1000],1,1000,50.0,190.0,148.245,20.08992222483701,"[146,146,143,154,152,135,159,143,161,158,142,150]",
|
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+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,dims_95,int64,[1000],1,1000,8.0,101.0,52.86,16.267280043080344,"[49,39,47,53,53,43,59,48,59,57,42,56]",
|
| 234 |
+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,dims_90,int64,[1000],1,1000,3.0,54.0,21.009,8.997606292786989,"[17,10,16,20,20,15,23,16,23,20,13,24]",
|
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+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,dims_80,int64,[1000],1,1000,2.0,18.0,5.994,2.617243588204965,"[5,3,5,6,5,4,7,4,6,5,4,8]",
|
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raw/vit_large_patch14_clip_openai/svd/svd_results.npz,ranks,int64,[1000],1,1000,256.0,256.0,256.0,0.0,"[256,256,256,256,256,256,256,256,256,256,256,256]",
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raw/vit_large_patch14_clip_openai/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,181.01,181.01,181.01,0.0,[181.01],
|
| 238 |
+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,89.00999999999999,89.00999999999999,89.00999999999999,0.0,[89.00999999999999],
|
| 239 |
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raw/vit_large_patch14_clip_openai/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,46.00999999999999,46.00999999999999,46.00999999999999,0.0,[46.00999999999999],
|
| 240 |
+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,15.0,15.0,15.0,0.0,[15.0],
|
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+
raw/vit_large_patch14_clip_openai/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,256.0,256.0,256.0,0.0,[256.0],
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+
raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,eigvals,float32,[1024],1,1024,0.093361034989357,1077.572021484375,7.18934368059854,34.26635213082696,"[1077.572021484375,90.35892486572266,84.99296569824219,75.3320083618164,57.361839294433594,53.83100891113281,47.48170471191406,44.32448959350586,40.800811767578125,39.218929290771484,36.000022888183594,35.29440689086914]",
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raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,1024]",2,1024000,0.0421869121491909,1.0000017881393433,0.7762211106062423,0.2088917340930932,"[0.18668407201766968,0.19541703164577484,0.20765003561973572,0.21314634382724762,0.2198815643787384,0.2217860370874405,0.2301352620124817,0.2349853813648224,0.24600471556186676,0.2509329319000244,0.2561923861503601,0.26116660237312317]",
|
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raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 245 |
+
raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,feature_dir,<U73,[],0,1,,,,,"[""Output/vit_large_patch14_dinov2/features/vit_large_patch14_dinov2.lvd142m""]",
|
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+
raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
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+
raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
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raw/vit_large_patch14_dinov2/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 249 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,model_name,<U18,[],0,1,,,,,"[""ViT-Large (DINOv2)""]",
|
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+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,model_dim,int64,[],0,1,1024.0,1024.0,1024.0,0.0,[1024],
|
| 251 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,num_tokens,int64,[],0,1,256000.0,256000.0,256000.0,0.0,[256000],
|
| 252 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,mean_ecg_curve,float64,[1024],1,1024,0.8754401689767838,100.0,50.43772054856881,28.606083660388336,"[0.8754401689767838,1.0025667085647583,1.091414781808853,1.1715819216370582,1.2811759402155876,1.3910914767980576,1.482253519833088,1.5780708281993865,1.664760194182396,1.7681605058908463,1.8610319529771804,1.9538165724277496]",
|
| 253 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,std_ecg_curve,float64,[1024],1,1024,0.0,1.2169988235245952,0.932842793385841,0.22522574706635115,"[0.6448530470055986,0.6618933231134082,0.6662605548991241,0.6671242926573344,0.6783258266775999,0.6843706976341711,0.6872532140458584,0.6927506109688436,0.6972186392552606,0.7058385709130582,0.7115140261337599,0.7177365368258061]",
|
| 254 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 255 |
+
raw/vit_large_patch14_dinov2/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 256 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,dims_99,int64,[1000],1,1000,76.0,182.0,140.671,16.94086063339168,"[143,108,147,144,150,137,123,148,127,143,124,138]",
|
| 257 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,dims_95,int64,[1000],1,1000,25.0,102.0,63.707,13.99103823881559,"[71,33,67,66,74,57,47,67,52,62,46,61]",
|
| 258 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,dims_90,int64,[1000],1,1000,12.0,65.0,36.441,9.846954808467437,"[43,14,37,38,45,30,25,39,28,34,24,35]",
|
| 259 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,dims_80,int64,[1000],1,1000,4.0,33.0,17.217,5.528644589770625,"[22,5,17,18,23,13,11,20,13,15,10,17]",
|
| 260 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,ranks,int64,[1000],1,1000,256.0,256.0,256.0,0.0,"[256,256,256,256,256,256,256,256,256,256,256,256]",
|
| 261 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,173.0,173.0,173.0,0.0,[173.0],
|
| 262 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,93.0,93.0,93.0,0.0,[93.0],
|
| 263 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,58.0,58.0,58.0,0.0,[58.0],
|
| 264 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,30.0,30.0,30.0,0.0,[30.0],
|
| 265 |
+
raw/vit_large_patch14_dinov2/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,256.0,256.0,256.0,0.0,[256.0],
|
| 266 |
+
raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,eigvals,float32,[1024],1,1024,0.33966201543807983,54050.33984375,61.077407618111465,1688.1536578565392,"[54050.33984375,352.94036865234375,271.58392333984375,243.26358032226562,232.87867736816406,228.2731170654297,190.693603515625,160.1267852783203,150.8902587890625,144.43211364746094,130.57884216308594,118.78424835205078]",
|
| 267 |
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raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,1024]",2,1024000,0.8007924556732178,1.000002384185791,0.9753292793969158,0.02393641134585101,"[0.871821403503418,0.8729108572006226,0.8775467872619629,0.8799755573272705,0.8832280039787292,0.8864346146583557,0.8895934820175171,0.8920167684555054,0.8943694829940796,0.8964663147926331,0.899267315864563,0.9004700183868408]",
|
| 268 |
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raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 269 |
+
raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,feature_dir,<U67,[],0,1,,,,,"[""Output/vit_large_patch16_224_mae/features/vit_large_patch16_224.mae""]",
|
| 270 |
+
raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 271 |
+
raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 272 |
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raw/vit_large_patch16_224_mae/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 273 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,model_name,<U15,[],0,1,,,,,"[""ViT-Large (MAE)""]",
|
| 274 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,model_dim,int64,[],0,1,1024.0,1024.0,1024.0,0.0,[1024],
|
| 275 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 276 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,mean_ecg_curve,float64,[1024],1,1024,0.25404934238779303,100.0,50.12702434691361,28.90694517999756,"[0.25404934238779303,0.3613633908155013,0.41960997726479354,0.5542862429910776,0.6667309510367257,0.7828380248789885,0.8974626613539093,0.9609029051333058,1.0886277394975934,1.2506258382991868,1.3411402275708257,1.394234456354258]",
|
| 277 |
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raw/vit_large_patch16_224_mae/sep/sep_results.npz,std_ecg_curve,float64,[1024],1,1024,0.001597191241251355,0.5046376577788172,0.39266318655228716,0.08574625803777002,"[0.3444569362118514,0.33886099528897773,0.34464542365164696,0.34329967516390214,0.3515589280951739,0.35203625482964146,0.35786456859431487,0.3609356248840862,0.3666364795035695,0.36790576840209566,0.3620385463986698,0.3656417894410439]",
|
| 278 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 279 |
+
raw/vit_large_patch16_224_mae/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 280 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,dims_99,int64,[1000],1,1000,26.0,125.0,90.048,16.207396336241057,"[91,84,97,93,95,90,88,89,100,105,46,87]",
|
| 281 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,dims_95,int64,[1000],1,1000,2.0,42.0,19.068,7.379795119107305,"[17,12,22,17,19,21,18,19,22,24,3,19]",
|
| 282 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,dims_90,int64,[1000],1,1000,1.0,11.0,3.644,1.925944962868877,"[2,1,5,3,3,5,5,4,4,3,1,4]",
|
| 283 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,dims_80,int64,[1000],1,1000,1.0,1.0,1.0,0.0,"[1,1,1,1,1,1,1,1,1,1,1,1]",
|
| 284 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
|
| 285 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,120.0,120.0,120.0,0.0,[120.0],
|
| 286 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,38.00999999999999,38.00999999999999,38.00999999999999,0.0,[38.00999999999999],
|
| 287 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,9.0,9.0,9.0,0.0,[9.0],
|
| 288 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,1.0,1.0,1.0,0.0,[1.0],
|
| 289 |
+
raw/vit_large_patch16_224_mae/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
|
| 290 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,eigvals,float32,[384],1,384,0.006473030429333448,2.623098373413086,0.037775930587182906,0.13570436240085815,"[2.623098373413086,0.462566077709198,0.16426870226860046,0.15007492899894714,0.14614345133304596,0.13903836905956268,0.12420579791069031,0.10879943519830704,0.10345470905303955,0.09863147884607315,0.09756763279438019,0.0945160835981369]",
|
| 291 |
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raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,384]",2,384000,0.0961439460515976,1.0000011920928955,0.7362403683408048,0.20768168193496336,"[0.15220700204372406,0.1707504391670227,0.17698772251605988,0.1825210005044937,0.19000276923179626,0.19725391268730164,0.20443591475486755,0.2086150050163269,0.21557903289794922,0.22070592641830444,0.2252049595117569,0.22966164350509644]",
|
| 292 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 293 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,feature_dir,<U69,[],0,1,,,,,"[""Output/vit_small_patch16_224_dino/features/vit_small_patch16_224.dino""]",
|
| 294 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
|
| 295 |
+
raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
|
| 296 |
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raw/vit_small_patch16_224_dino/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
|
| 297 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,model_name,<U16,[],0,1,,,,,"[""ViT-Small (DINO)""]",
|
| 298 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,model_dim,int64,[],0,1,384.0,384.0,384.0,0.0,[384],
|
| 299 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
|
| 300 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,mean_ecg_curve,float64,[384],1,384,4.877822835805465,100.0,52.438911777369015,27.502971500412183,"[4.877822835805465,5.1100120183205116,5.35083493913923,5.638094525395608,5.85729799356266,6.097605942706672,6.345320342083366,6.559056590488979,6.756218716368383,6.991809977628747,7.209700485540896,7.4650271693638395]",
|
| 301 |
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raw/vit_small_patch16_224_dino/sep/sep_results.npz,std_ecg_curve,float64,[384],1,384,0.0017857143489111735,2.261476420435359,1.718491967057175,0.43300244203552307,"[1.9811950817524802,1.9955911006259759,2.0000300111934517,2.0236263823486795,2.033734736414596,2.0507374054326157,2.0634141217159168,2.064996979647734,2.0779249443526617,2.094053403077155,2.100056133644864,2.1123749974359085]",
|
| 302 |
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raw/vit_small_patch16_224_dino/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
| 303 |
+
raw/vit_small_patch16_224_dino/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
| 304 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,dims_99,int64,[1000],1,1000,58.0,157.0,130.07,14.511964029723888,"[126,138,132,135,133,129,136,125,137,139,138,118]",
|
| 305 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,dims_95,int64,[1000],1,1000,24.0,106.0,75.742,12.808959208304163,"[70,79,82,79,78,80,79,72,81,85,83,68]",
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raw/vit_small_patch16_224_dino/svd/svd_results.npz,dims_90,int64,[1000],1,1000,13.0,76.0,49.297,10.358899121045633,"[44,49,56,51,52,54,51,47,52,57,56,43]",
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raw/vit_small_patch16_224_dino/svd/svd_results.npz,dims_80,int64,[1000],1,1000,7.0,45.0,25.262,6.608884626016707,"[22,23,30,26,27,29,26,24,26,30,28,22]",
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raw/vit_small_patch16_224_dino/svd/svd_results.npz,ranks,int64,[1000],1,1000,196.0,196.0,196.0,0.0,"[196,196,196,196,196,196,196,196,196,196,196,196]",
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raw/vit_small_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,152.01,152.01,152.01,0.0,[152.01],
|
| 310 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,101.0,101.0,101.0,0.0,[101.0],
|
| 311 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,72.0,72.0,72.0,0.0,[72.0],
|
| 312 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,41.0,41.0,41.0,0.0,[41.0],
|
| 313 |
+
raw/vit_small_patch16_224_dino/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,196.0,196.0,196.0,0.0,[196.0],
|
| 314 |
+
raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,eigvals,float32,[192],1,192,0.22158943116664886,4781.49853515625,26.54017531646726,344.0676090885509,"[4781.49853515625,36.310302734375,9.955388069152832,5.70903205871582,5.1081156730651855,4.826049327850342,4.388359546661377,4.000005722045898,3.8651978969573975,3.6445555686950684,3.5010058879852295,3.3931655883789062]",
|
| 315 |
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,curves,float32,"[1000,192]",2,192000,0.6059099435806274,1.000001311302185,0.9808106154895698,0.017636625632988654,"[0.9411364793777466,0.9491025805473328,0.950108528137207,0.950926661491394,0.9513313174247742,0.9524528384208679,0.9536775946617126,0.954118013381958,0.9545955061912537,0.955248236656189,0.9556165933609009,0.956412672996521]",
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,total_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,feature_dir,<U82,[],0,1,,,,,"[""Output/vit_tiny_patch16_224_21k/features/vit_tiny_patch16_224.augreg_in21k_ft_in1k""]",
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,layer,int32,[],0,1,-1.0,-1.0,-1.0,0.0,[-1],
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,token_policy,<U4,[],0,1,,,,,"[""auto""]",
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raw/vit_tiny_patch16_224_21k/dataset_pca/dataset_pca_results.npz,centered,bool,[],0,1,0.0,0.0,0.0,0.0,[false],
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,model_name,<U8,[],0,1,,,,,"[""ViT-Tiny""]",
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,model_dim,int64,[],0,1,192.0,192.0,192.0,0.0,[192],
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,num_tokens,int64,[],0,1,196000.0,196000.0,196000.0,0.0,[196000],
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,mean_ecg_curve,float32,[192],1,192,0.14785076677799225,100.0,50.074299635753654,29.19684508031365,"[0.14785076677799225,0.5920442938804626,0.9809367656707764,1.4482059478759766,1.92818284034729,2.371487855911255,2.8761770725250244,3.4179368019104004,3.8876259326934814,4.4797844886779785,4.945947170257568,5.53909969329834]",
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,threshold_dims,,,,,,,,,,ValueError: Object arrays cannot be loaded when allow_pickle=False
|
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raw/vit_tiny_patch16_224_21k/sep/sep_results.npz,thresholds,int64,[5],1,5,50.0,90.0,70.0,14.142135623730951,"[50,60,70,80,90]",
|
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raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,dims_99,int64,[1000],1,1000,5.0,68.0,25.366,9.041573093217794,"[15,9,16,16,14,21,25,17,29,17,16,20]",
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raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,dims_95,int64,[1000],1,1000,1.0,19.0,2.269,1.445212441131061,"[1,2,1,1,1,1,2,1,2,1,1,2]",
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| 330 |
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raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,dims_90,int64,[1000],1,1000,1.0,7.0,1.051,0.329240034017736,"[1,1,1,1,1,1,1,1,1,1,1,1]",
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raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,dims_80,int64,[1000],1,1000,1.0,2.0,1.002,0.044676615807377355,"[1,1,1,1,1,1,1,1,1,1,1,1]",
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| 332 |
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raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,ranks,int64,[1000],1,1000,192.0,192.0,192.0,0.0,"[192,192,192,192,192,192,192,192,192,192,192,192]",
|
| 333 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,percentile_99_dims_99,float64,[],0,1,52.0,52.0,52.0,0.0,[52.0],
|
| 334 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,percentile_99_dims_95,float64,[],0,1,7.009999999999991,7.009999999999991,7.009999999999991,0.0,[7.009999999999991],
|
| 335 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,percentile_99_dims_90,float64,[],0,1,2.0,2.0,2.0,0.0,[2.0],
|
| 336 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,percentile_99_dims_80,float64,[],0,1,1.0,1.0,1.0,0.0,[1.0],
|
| 337 |
+
raw/vit_tiny_patch16_224_21k/svd/svd_results.npz,percentile_99_ranks,float64,[],0,1,192.0,192.0,192.0,0.0,[192.0],
|
raw/cait/dataset_pca/dataset_pca_results.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:a39d65a703d9e3500fc20b778577f578e57fa3940b8f399afb8ce4c0a25442d2
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size 1288003
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raw/cait/sep/sep_results.npz
ADDED
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:83993dbd86038994ed481bbcefc46010364671a14debddc0b7cfa02a8a02007f
|
| 3 |
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size 5457
|
raw/cait/sep/sep_thresholds.csv
ADDED
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@@ -0,0 +1,6 @@
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| 1 |
+
Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
|
| 2 |
+
CaiT-S24,384,50,192,0.500000
|
| 3 |
+
CaiT-S24,384,60,230,0.598958
|
| 4 |
+
CaiT-S24,384,70,270,0.703125
|
| 5 |
+
CaiT-S24,384,80,309,0.804688
|
| 6 |
+
CaiT-S24,384,90,346,0.901042
|
raw/cait/svd/svd_results.npz
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e42f86cbcc728100280cde6b4aaf66dd15e3ce32ed7c37b6a722a7a4b005a584
|
| 3 |
+
size 42654
|
raw/comparison/sep/sep_comparison_table.csv
ADDED
|
@@ -0,0 +1,15 @@
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| 1 |
+
Model,Dimension (D),Num Tokens,d/D @ 50%,d @ 50%,d/D @ 60%,d @ 60%,d/D @ 70%,d @ 70%,d/D @ 80%,d @ 80%,d/D @ 90%,d @ 90%
|
| 2 |
+
ViT-Tiny,192,196000,0.505208,97,0.604167,116,0.703125,135,0.796875,153,0.901042,173
|
| 3 |
+
CaiT-S24,384,196000,0.500000,192,0.598958,230,0.703125,270,0.804688,309,0.901042,346
|
| 4 |
+
DeiT-Small,384,196000,0.502604,193,0.601562,231,0.700521,269,0.796875,306,0.901042,346
|
| 5 |
+
ViT-Large,1024,196000,0.500000,512,0.598633,613,0.700195,717,0.800781,820,0.899414,921
|
| 6 |
+
ViT-Huge,1280,256000,0.493750,632,0.592969,759,0.694531,889,0.800000,1024,0.900781,1153
|
| 7 |
+
Swin-Small,768,49000,0.501302,385,0.598958,460,0.700521,538,0.799479,614,0.901042,692
|
| 8 |
+
"ViT-Base (CLIP, OpenAI)",768,196000,0.500000,384,0.596354,458,0.697917,536,0.804688,618,0.901042,692
|
| 9 |
+
"ViT-Large (CLIP, OpenAI)",1024,256000,0.499023,511,0.601562,616,0.696289,713,0.801758,821,0.900391,922
|
| 10 |
+
ViT-Base (DINOv2),768,256000,0.500000,384,0.600260,461,0.701823,539,0.802083,616,0.899740,691
|
| 11 |
+
ViT-Large (DINOv2),1024,256000,0.497070,509,0.599609,614,0.699219,716,0.798828,818,0.899414,921
|
| 12 |
+
ViT-Base (DINO),768,196000,0.496094,381,0.597656,459,0.700521,538,0.798177,613,0.901042,692
|
| 13 |
+
ViT-Small (DINO),384,196000,0.476562,183,0.583333,224,0.690104,265,0.791667,304,0.895833,344
|
| 14 |
+
ViT-Base (MAE),768,196,0.493490,379,0.588542,452,0.684896,526,0.789062,606,0.895833,688
|
| 15 |
+
ViT-Large (MAE),1024,196000,0.500000,512,0.596680,611,0.697266,714,0.797852,817,0.900391,922
|
raw/comparison/svd_pca/svd_rank_table.md
ADDED
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| 1 |
+
| Train Method | Model | Dims | SVD 80% | SVD 90% | SVD 95% | SVD 99% | Dataset 80% | Dataset 90% | Dataset 95% | Dataset 99% |
|
| 2 |
+
|:--|:--|--:|--:|--:|--:|--:|--:|--:|--:|--:|
|
| 3 |
+
| SL | ViT-Tiny | 192 | 1 | 2 | 7 | 52 | 1 | 17 | 71 | 154 |
|
| 4 |
+
| SL | CaiT-S24 | 384 | 14 | 34 | 61 | 121 | 167 | 247 | 302 | 359 |
|
| 5 |
+
| SL | DeiT-Small | 384 | 30 | 59 | 89 | 146 | 205 | 278 | 324 | 369 |
|
| 6 |
+
| SL | Swin-Small | 768 | 3 | 7 | 15 | 33 | 129 | 336 | 495 | 691 |
|
| 7 |
+
| SL | ViT-Large | 1024 | 5 | 16 | 39 | 115 | 255 | 498 | 694 | 933 |
|
| 8 |
+
| SSL | ViT-Huge (MAE) | 1280 | 1 | 15 | 58 | 164 | 1 | 83 | 371 | 977 |
|
| 9 |
+
| SSL | ViT-Base (DINOv2) | 768 | 19 | 39 | 67 | 146 | 384 | 519 | 606 | 704 |
|
| 10 |
+
| SSL | ViT-Large (DINOv2) | 1024 | 30 | 58 | 93 | 173 | 525 | 696 | 813 | 940 |
|
| 11 |
+
| SSL | ViT-Base (DINO) | 768 | 39 | 75 | 109 | 165 | 382 | 529 | 624 | 731 |
|
| 12 |
+
| SSL | ViT-Small (DINO) | 384 | 41 | 72 | 101 | 152 | 232 | 297 | 336 | 373 |
|
| 13 |
+
| SSL | ViT-Base (MAE) | 768 | 1 | 7 | 34 | 113 | 1 | 58 | 235 | 585 |
|
| 14 |
+
| SSL | ViT-Large (MAE) | 1024 | 1 | 9 | 38 | 120 | 1 | 49 | 268 | 765 |
|
| 15 |
+
| MM | ViT-Base (CLIP, OpenAI) | 768 | 6 | 27 | 60 | 135 | 129 | 340 | 502 | 704 |
|
| 16 |
+
| MM | ViT-Large (CLIP, OpenAI) | 1024 | 15 | 46 | 89 | 181 | 230 | 506 | 713 | 945 |
|
raw/comparison/svd_pca/svd_rank_table.tex
ADDED
|
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|
| 1 |
+
\begin{tabular}{l l r r r r r r r r r}
|
| 2 |
+
\toprule
|
| 3 |
+
Train Method & Model & Dims & \multicolumn{4}{c}{Per-image SVD (99th pct)} & \multicolumn{4}{c}{Dataset PCA (shared, 99th pct)} \\
|
| 4 |
+
\cmidrule(lr){4-7}\cmidrule(lr){8-11}
|
| 5 |
+
& & & 80\% & 90\% & 95\% & 99\% & 80\% & 90\% & 95\% & 99\% \\
|
| 6 |
+
\midrule
|
| 7 |
+
SL & ViT-Tiny & 192 & 1 & 2 & 7 & 52 & 1 & 17 & 71 & 154 \\
|
| 8 |
+
SL & CaiT-S24 & 384 & 14 & 34 & 61 & 121 & 167 & 247 & 302 & 359 \\
|
| 9 |
+
SL & DeiT-Small & 384 & 30 & 59 & 89 & 146 & 205 & 278 & 324 & 369 \\
|
| 10 |
+
SL & Swin-Small & 768 & 3 & 7 & 15 & 33 & 129 & 336 & 495 & 691 \\
|
| 11 |
+
SL & ViT-Large & 1024 & 5 & 16 & 39 & 115 & 255 & 498 & 694 & 933 \\
|
| 12 |
+
\midrule
|
| 13 |
+
SSL & ViT-Huge (MAE) & 1280 & 1 & 15 & 58 & 164 & 1 & 83 & 371 & 977 \\
|
| 14 |
+
SSL & ViT-Base (DINOv2) & 768 & 19 & 39 & 67 & 146 & 384 & 519 & 606 & 704 \\
|
| 15 |
+
SSL & ViT-Large (DINOv2) & 1024 & 30 & 58 & 93 & 173 & 525 & 696 & 813 & 940 \\
|
| 16 |
+
SSL & ViT-Base (DINO) & 768 & 39 & 75 & 109 & 165 & 382 & 529 & 624 & 731 \\
|
| 17 |
+
SSL & ViT-Small (DINO) & 384 & 41 & 72 & 101 & 152 & 232 & 297 & 336 & 373 \\
|
| 18 |
+
SSL & ViT-Base (MAE) & 768 & 1 & 7 & 34 & 113 & 1 & 58 & 235 & 585 \\
|
| 19 |
+
SSL & ViT-Large (MAE) & 1024 & 1 & 9 & 38 & 120 & 1 & 49 & 268 & 765 \\
|
| 20 |
+
\midrule
|
| 21 |
+
MM & ViT-Base (CLIP, OpenAI) & 768 & 6 & 27 & 60 & 135 & 129 & 340 & 502 & 704 \\
|
| 22 |
+
MM & ViT-Large (CLIP, OpenAI) & 1024 & 15 & 46 & 89 & 181 & 230 & 506 & 713 & 945 \\
|
| 23 |
+
\bottomrule
|
| 24 |
+
\end{tabular}
|
raw/deit_small/dataset_pca/dataset_pca_results.npz
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 1309567
|
raw/deit_small/sep/sep_results.npz
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 5465
|
raw/deit_small/sep/sep_thresholds.csv
ADDED
|
@@ -0,0 +1,6 @@
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+
Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
|
| 2 |
+
DeiT-Small,384,50,193,0.502604
|
| 3 |
+
DeiT-Small,384,60,231,0.601562
|
| 4 |
+
DeiT-Small,384,70,269,0.700521
|
| 5 |
+
DeiT-Small,384,80,306,0.796875
|
| 6 |
+
DeiT-Small,384,90,346,0.901042
|
raw/deit_small/svd/svd_results.npz
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 42654
|
raw/swin_small/dataset_pca/dataset_pca_results.npz
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|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
+
size 2392755
|
raw/swin_small/sep/sep_results.npz
ADDED
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Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
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Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
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Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
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Model,Model_Dimension,Threshold (%),Dimension (d),Normalized (d/D)
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