| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-100 (test) | Vision Transformer (ViT-H/14) | Accuracy94.55 | 3,518 | 3mo ago | |
| CIFAR-10 (test) | Efficient Adaptive Ensembling | Accuracy99.612 | 3,381 | 3mo ago | |
| ImageNet-1K 1.0 (val) | RevCol-H | Top-1 Accuracy90 | 2,238 | 1d ago | |
| ImageNet 1k (val) | CoCa | Top-1 Accuracy91 | 1,498 | 1d ago | |
| ImageNet-1K | AutoV | Top-1 Acc97.1 | 1,239 | 1mo ago | |
| ImageNet (val) | VOLO-D5 | Top-1 Acc87.1 | 1,206 | 3mo ago | |
| ImageNet 1K (val) | ViT-22B | Top-1 Accuracy89.5 | 920 | 7d ago | |
| CIFAR-10 (test) | DeiT-B | Accuracy99.1 | 906 | 3mo ago | |
| MNIST (test) | Accuracy99.35 | 894 | 2mo ago | ||
| CIFAR-10 (test) | DP-Adam | Accuracy98.2 | 882 | 7d ago | |
| ImageNet 1k (test) | Model Soups | Top-1 Accuracy91 | 880 | 15d ago | |
| CIFAR-10 | SVFit | Accuracy99.3 | 875 | 18h ago | |
| CIFAR-100 (val) | DoRA | Accuracy94.11 | 781 | 15d ago | |
| ImageNet V2 | ViT-B/16 | Top-1 Acc86.9 | 749 | 18h ago | |
| Tiny-ImageNet (test) | CLAdapter | Accuracy94.21 | 722 | 18h ago | |
| ImageNet-1K (val) | CoAtNet-7 | Top-1 Accuracy90.9 | 708 | 17h ago | |
| ImageNet 1k (val) | DRiFt_Temps | Top-1 Acc94.8 | 706 | 3mo ago | |
| ImageNet A | Best model on each test set (oracle) | Top-1 Acc94.47 | 698 | 18h ago | |
| CIFAR-100 | ViT-22B | Accuracy95.96 | 691 | 2mo ago | |
| Stanford Cars | LaCLIP | Accuracy99.5 | 660 | 17h ago | |
| Fashion MNIST (test) | Accuracy97.9 | 633 | 23h ago | ||
| ImageNet-1k | ViT-e/14 | Top-1 Acc90.9 | 600 | 2mo ago | |
| DTD | iSICE | Accuracy88.9 | 599 | 17h ago | |
| Clothing1M (test) | SOMNet | Accuracy82.1 | 598 | 1mo ago | |
| CIFAR10 (test) | WiSE-FT | Accuracy99.5 | 585 | 3mo ago |
