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Domain Generalization archive 2025-07-28

ImageNet-A Benchmark (Domain Generalization)

39 rows 38 with code listed 2 metrics Dataset page

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: Top-1 accuracy % (higher is better), Number of params (lower is better). Points are placed at the row's paper date; 39 of 39 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 Model soups (BASIC-L) 94.17 ✓ Paper Code 2022 5 of 17 ran · 12 unverified report
2 Model soups (ViT-G/14) 92.67 ✓ Paper Code 2022 5 of 17 ran · 12 unverified report
3 µ2Net+ (ViT-L/16) 84.53 ✓ Paper Code 2022 linked, not harvested report
4 CAR-FT (CLIP, ViT-L/14@336px) 81.5 ✓ Paper – 2022 no code linked report
5 CAFormer-B36 (IN-21K, 384) 79.599M ✓ Paper Code 2022 0 of 4 ran · 4 unverified report
6 MAE (ViT-H, 448) 76.7 – Paper Code 2021 71 of 137 ran · 66 unverified report
7 FAN-Hybrid-L(IN-21K, 384) 74.5 ✓ Paper Code 2022 linked, not harvested report
8 ConvFormer-B36 (IN-21K, 384) 73.5100M ✓ Paper Code 2022 0 of 4 ran · 4 unverified report
9 CAFormer-B36 (IN-21K) 69.499M ✓ Paper Code 2022 0 of 4 ran · 4 unverified report
10 ConvNeXt-XL (Im21k, 384) 69.3 ✓ Paper Code 2022 54 of 80 ran · 26 unverified report
11 MAE+DAT (ViT-H) 68.92 – Paper Code 2022 10 of 11 ran · 1 unverified report
12 ConvFormer-B36 (IN-21K) 63.3100M ✓ Paper Code 2022 0 of 4 ran · 4 unverified report
13 Pyramid Adversarial Training Improves ViT (Im21k) 62.44 ✓ Paper Code 2021 linked, not harvested report
14 CAFormer-B36 (384) 61.999M – Paper Code 2022 0 of 4 ran · 4 unverified report
15 TransNeXt-Base (IN-1K supervised, 384) 61.689.7M – Paper Code 2023 5 of 5 ran · 0 unverified report
16 TransNeXt-Small (IN-1K supervised, 384) 58.349.7M – Paper Code 2023 5 of 5 ran · 0 unverified report
17 ConvFormer-B36 (384) 55.3100M – Paper Code 2022 0 of 4 ran · 4 unverified report
18 SEER (RegNet10B) 52.7 ✓ Paper Code 2022 linked, not harvested report
19 TransNeXt-Base (IN-1K supervised, 224) 50.689.7M – Paper Code 2023 5 of 5 ran · 0 unverified report
20 CAFormer-B36 48.599M – Paper Code 2022 0 of 4 ran · 4 unverified report
21 TransNeXt-Small (IN-1K supervised, 224) 47.149.7M – Paper Code 2023 5 of 5 ran · 0 unverified report
22 FAN-L-Hybrid+STL 46.1 – Paper Code 2024 linked, not harvested report
23 ConvFormer-B36 40.1100M – Paper Code 2022 0 of 4 ran · 4 unverified report
24 Pyramid Adversarial Training Improves ViT (384x384) 36.41 – Paper Code 2021 linked, not harvested report
25 Sequencer2D-L 35.5 – Paper Code 2022 4 of 9 ran · 5 unverified report
26 Discrete Adversarial Distillation (ViT-B/224) 31.8 – Paper Code 2023 1 of 1 ran · 0 unverified report
27 Diffusion Classifier 30.2 – Paper Code 2023 2 of 2 ran · 0 unverified report
28 RVT-B* 28.5 – Paper Code 2021 linked, not harvested report
29 RVT-S* 25.7 – Paper Code 2021 linked, not harvested report
30 RVT-Ti* 14.4 – Paper Code 2021 linked, not harvested report
31 GFNet-S 14.3 – Paper Code 2021 6 of 10 ran · 4 unverified report
32 CutMix+MoEx (ResNet-50) 8.4 – Paper Code 2020 3 of 14 ran · 11 unverified report
33 Discrete Adversarial Distillation (ResNet-50) 7.7 – Paper Code 2023 1 of 1 ran · 0 unverified report
34 CutMix (ResNet-50) 7.3 – Paper Code 2019 17 of 24 ran · 7 unverified report
35 Mixup (ResNet-50) 6.6 – Paper Code 2017 30 of 47 ran · 17 unverified report
36 Cutout (ResNet-50) 4.4 – Paper Code 2017 21 of 24 ran · 3 unverified report
37 ResNet-50 (300 Epochs) 4.2 – Paper Code 2015 230 of 377 ran · 147 unverified report
38 Stylized ImageNet (ResNet-50) 2.3 ✓ Paper Code 2018 0 of 6 ran · 6 unverified report
39 ResNet-50 0 – Paper Code 2019 1 of 4 ran · 3 unverified report

All 39 rows shown. 39 link to a paper page on this site; 13 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). 29 rows have a graph line, from 17 distinct papers; 20 rows (15 papers) have at least one sample that ran. Counting each paper once: Syntology ran 460 of 772 samples; 312 unverified. Separately, 303 of those 772 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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