Browse › Computer Vision › Domain Generalization › ImageNet-C
ImageNet-C Benchmark (Domain Generalization)
The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain
Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
The archive carries no text for this table; the description above is the archive's text for the task Domain Generalization. archive 2025-07-28
Over time archive 2025-07-28
The chart needs JavaScript; the table below carries every value.
Direction inferred from the metric name, not from the archive: mean Corruption Error (mCE) (lower is better), Top 1 Accuracy (higher is better), Number of params (lower is better). Points are placed at the row's paper date; 47 of 47 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | DINOv2 (ViT-g/14, frozen model, linear eval) | 28.2 | 1100M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 2 | CAFormer-B36 (IN21K, 384) | 30.8 | 99M | ✓ | Paper | Code | 2022 | 0 of 4 ran · 4 unverified | report | |
| 3 | MAE+DAT (ViT-H) | 31.4 | 632M | – | Paper | Code | 2022 | 10 of 11 ran · 1 unverified | report | |
| 4 | DINOv2 (ViT-L/14, frozen model, linear eval) | 31.5 | 307M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 5 | CAFormer-B36 (IN21K) | 31.8 | ✓ | Paper | Code | 2022 | 0 of 4 ran · 4 unverified | report | ||
| 6 | MAE (ViT-H) | 33.8 | 632M | – | Paper | Code | 2021 | 71 of 137 ran · 66 unverified | report | |
| 7 | ConvFormer-B36 (IN21K) | 35.0 | ✓ | Paper | Code | 2022 | 0 of 4 ran · 4 unverified | report | ||
| 8 | FAN-L-Hybrid (IN-22k) | 35.8 | 73.6 | 77M | ✓ | Paper | Code | 2022 | linked, not harvested | report |
| 9 | Pyramid Adversarial Training Improves ViT (Im21k) | 36.80 | 87M | ✓ | Paper | Code | 2021 | linked, not harvested | report | |
| 10 | VOLO-D5+HAT | 38.4 | 296M | – | Paper | Code | 2022 | 10 of 14 ran · 4 unverified | report | |
| 11 | DiscreteViT (Im21k) | 38.74 | 87M | ✓ | Paper | Code | 2021 | linked, not harvested | report | |
| 12 | ConvNeXt-XL (Im21k) (augmentation overlap with ImageNet-C) | 38.8 | 350M | ✓ | Paper | Code | 2022 | 54 of 80 ran · 26 unverified | report | |
| 13 | GPaCo (ViT-L) | 39.0 | – | Paper | Code | 2022 | linked, not harvested | report | ||
| 14 | FAN-B-Hybrid (IN-22k) | 41.0 | 70.5 | 50M | ✓ | Paper | Code | 2022 | linked, not harvested | report |
| 15 | Pyramid Adversarial Training Improves ViT | 41.42 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 16 | FAN-L-Hybrid+STL | 42.1 | 69.2 | 77M | – | Paper | Code | 2024 | linked, not harvested | report |
| 17 | QualNet (ResNeXt101) | 42.5 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 18 | CAFormer-B36 | 42.6 | – | Paper | Code | 2022 | 0 of 4 ran · 4 unverified | report | ||
| 19 | DINOv2 (ViT-B/14, frozen model, linear eval) | 42.7 | 85M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 20 | FAN-L-Hybrid | 43.0 | 67.7 | 77M | – | Paper | Code | 2022 | linked, not harvested | report |
| 21 | DrViT | 46.22 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 22 | DiscreteViT | 46.22 | 87M | – | Paper | Code | 2021 | linked, not harvested | report | |
| 23 | ConvFormer-B36 | 46.3 | – | Paper | Code | 2022 | 0 of 4 ran · 4 unverified | report | ||
| 24 | RVT-B* | 46.8 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 25 | Sequencer2D-L | 48.9 | – | Paper | Code | 2022 | 4 of 9 ran · 5 unverified | report | ||
| 26 | RVT-S* | 49.4 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 27 | ResNet-50 (PushPull-Conv) + PRIME | 49.95 | 69.4 | 25.6 | – | Paper | Code | 2024 | linked, not harvested | report |
| 28 | QualNet (ResNet-50) | 50.6 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 29 | PRIME + DeepAugment (ResNet-50) | 51.3 | 59.9 | – | Paper | Code | 2021 | 5 of 8 ran · 3 unverified | report | |
| 30 | GFNet-S | 53.8 | – | Paper | Code | 2021 | 6 of 10 ran · 4 unverified | report | ||
| 31 | DINOv2 (ViT-S/14, frozen model, linear eval) | 54.4 | 21M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 32 | PRIME with JSD (ResNet-50) | 55.5 | 56.4 | – | Paper | Code | 2021 | 5 of 8 ran · 3 unverified | report | |
| 33 | RVT-Ti* | 57.0 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 34 | PRIME (ResNet-50) | 57.5 | 55.0 | – | Paper | Code | 2021 | 5 of 8 ran · 3 unverified | report | |
| 35 | APR-SP + DeepAugment (ResNet-50) | 57.5 | – | Paper | Code | 2021 | 9 of 10 ran · 1 unverified | report | ||
| 36 | DeepAugment (ResNet-50) | 60.4 | – | Paper | Code | 2020 | 13 of 14 ran · 1 unverified | report | ||
| 37 | APR-SP (ResNet-50) | 65.0 | – | Paper | Code | 2021 | 9 of 10 ran · 1 unverified | report | ||
| 38 | AugMix (ResNet-50) | 65.3 | – | Paper | Code | 2019 | 43 of 51 ran · 8 unverified | report | ||
| 39 | Stylized ImageNet (ResNet-50) | 69.3 | ✓ | Paper | Code | 2018 | 0 of 6 ran · 6 unverified | report | ||
| 40 | Group-wise Inhibition (ResNet-50) | 69.6 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 41 | ResNet-50 | 76.7 | – | Paper | Code | 2019 | 2 of 3 ran · 1 unverified | report | ||
| 42 | DiffAUD (ConvNeXt-Tiny) | 64.3 | ✓ | Paper | Code | 2024 | linked, not harvested | report | ||
| 43 | DiffAUD (Swin-Tiny) | 61 | ✓ | Paper | Code | 2024 | linked, not harvested | report | ||
| 44 | ViT-B/16-SAM | 56.5 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 45 | ResNet-152x2-SAM | 55 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 46 | DiffAUD (ResNet-50) | 52.1 | ✓ | Paper | Code | 2024 | linked, not harvested | report | ||
| 47 | Mixer-B/8-SAM | 48.9 | – | Paper | Code | 2021 | linked, not harvested | report |
All 47 rows shown. 47 link to a paper page on this site; 16 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 24 rows have a graph line, from 14 distinct papers; 18 rows (12 papers) have at least one sample that ran. Counting each paper once: Syntology ran 248 of 403 samples; 155 unverified. Separately, 127 of those 403 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
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