| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ImageNet-1K 1.0 (val) | CoAtNet-7 | Top-1 Accuracy (%)90.88 | 1,163 | 1mo ago | |
| Cars | KL | Accuracy96.4 | 395 | 3d ago | |
| CIFAR10 (test) | reSGHMC | Accuracy97.42 | 293 | 19d ago | |
| PASCAL VOC 2007 (test) | MELM | mAP (%)93.1 | 217 | 1mo ago | |
| ImageNet1k | DINOv3 | Accuracy88.4 | 202 | 29d ago | |
| CelebA | ERM | Avg Accuracy95.1 | 185 | 4d ago | |
| SVHN (test) | Colornet-40-48 | Error Rate1.12 | 182 | 1mo ago | |
| FMNIST (test) | pFedBreD (mg)+FT | Accuracy99.06 | 152 | 23d ago | |
| CIFAR10-DVS | sliding PSN (k=2) | Accuracy85.9 | 145 | 1mo ago | |
| ImageNet 1k (test val) | Greedy soup | Top-1 Accuracy90.94 | 138 | 1mo ago | |
| CIFAR100-LT (test) | FixMatch + ACR + BEM | Accuracy75.9 | 136 | 1mo ago | |
| CIFAR-100 (test) | F-Deep-ens | Accuracy84.52 | 129 | 1mo ago | |
| OrganAMNIST | DUCS | Accuracy99.13 | 125 | 15d ago | |
| ModelNet40 (test) | CurveNet | Accuracy94.2 | 120 | 4d ago | |
| ModelNet40 | Point-JEPA | Accuracy98.2 | 108 | 22d ago | |
| Zero-shot Evaluation Suite (BoolQ, PIQA, HellaSwag, WinoGrande, ARC-e, ARC-c, OBQA) | Average Accuracy (Zero-Shot Suite)69.99 | 94 | 1mo ago | ||
| CUB | Accuracy91.9 | 93 | 4d ago | ||
| CIFAR-10 | DGMMC-S | Accuracy98.8 | 93 | 22d ago | |
| CelebA (test) | Average Accuracy95.9 | 92 | 1mo ago | ||
| UPMC-Food101 CMML | DeLo | AP80.23 | 90 | 1mo ago | |
| PneumoniaMNIST | DUCS | Accuracy98.28 | 84 | 15d ago | |
| CRC-KRAS TCGA cohort | MambaMIL+ | AUC72.6 | 84 | 1mo ago | |
| NWPU (test) | OA0.9506 | 80 | 1mo ago | ||
| CUB (test) | EPNetSSL | Accuracy94.11 | 79 | 1mo ago | |
| SST2 | Accuracy96.3 | 76 | 4d ago |
