| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| EuroSAT | TTC | Accuracy64.1 | 81 | 18d ago | |
| Aircraft | CAP | Top-1 Acc94.9 | 62 | 1mo ago | |
| UCF101 | C-TPT | Accuracy75.1 | 53 | 18d ago | |
| Stanford Cars | MMAL-Net | Accuracy95 | 50 | 17d ago | |
| Food101 | EfficientNet B7 | Top-1 Acc93 | 42 | 1mo ago | |
| SUN397 | CLIP | Top-1 Accuracy78.4 | 39 | 1mo ago | |
| Caltech101 | TPT | Accuracy95.9 | 39 | 18d ago | |
| DTD | R-TPT | Clean Accuracy54 | 34 | 18d ago | |
| Pets | CLIP | Accuracy88.25 | 32 | 18d ago | |
| Oxford Flowers 102 | TPT | Accuracy76.9 | 31 | 1mo ago | |
| Pets (test) | GRPO | Accuracy70.7 | 29 | 18d ago | |
| SUN397 (novel classes) | TCPT | ECE0.77 | 28 | 1mo ago | |
| EuroSAT (novel classes) | DAC | Expected Calibration Error3.33 | 28 | 1mo ago | |
| DTD | StableRep | Accuracy80.1 | 28 | 1mo ago | |
| UCF101 (base classes) | TCPT | Accuracy84.68 | 27 | 1mo ago | |
| EuroSAT base classes | Temp. Scal. | Accuracy93.6 | 27 | 1mo ago | |
| DTD (base classes) | ZS-Norm | Accuracy81.02 | 27 | 1mo ago | |
| SUN397 (base classes) | TCPT | Accuracy81.68 | 27 | 1mo ago | |
| FGVCAircraft (base classes) | Temp. Scal. | Accuracy42 | 27 | 1mo ago | |
| Food101 (base classes) | ZS-Norm | Accuracy91.71 | 27 | 1mo ago | |
| OxfordPets (base classes) | ZS-Norm | Accuracy97.65 | 27 | 1mo ago | |
| Caltech101 (base classes) | MBLS | Accuracy98.23 | 27 | 1mo ago | |
| Flower102 (test) | Accuracy97.8 | 27 | 1mo ago | ||
| Oxford-IIIT Pets | OmniVec2 | Top-1 Accuracy99.6 | 27 | 1mo ago | |
| FGVC Aircraft | ResNet-50 (ReLabel-trained) | Accuracy88.89 | 25 | 1mo ago |
