| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Food-101 | AG-Net | Top-1 Acc99.3 | 16 | 1mo ago | |
| UCF101 | SARE | Accuracy87.58 | 15 | 1mo ago | |
| Birdsnap | SARE | Accuracy87.3 | 15 | 1mo ago | |
| Standard Visual-Language Benchmarks Average (Seen/Unseen classes) | CoOp | Base Accuracy82.63 | 5 | 1mo ago | |
| Caltech-256 | AG-Net | Top-1 Acc96.89 | 1 | 1mo ago | |
| PPMI-24 | AG-Net | Top-1 Acc98.2 | 1 | 1mo ago | |
| Stanford-40 | AG-Net | Top-1 Accuracy97.83 | 1 | 1mo ago | |
| AUC V2 | AG-Net | Top-1 Accuracy0.9665 | 1 | 1mo ago | |
| AUC V1 | AG-Net | Top-1 Acc99.7 | 1 | 1mo ago |
