| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Avg over 11 datasets | 2SFS | Base Score88.11 | 102 | 15d ago | |
| DTD | +DPC | Base Accuracy86.88 | 94 | 15d ago | |
| ImageNet | Base Accuracy82 | 93 | 15d ago | ||
| FGVCAircraft | 2SFS | Base Performance51.58 | 90 | 15d ago | |
| OxfordPets | DeAR | Base Score97.34 | 76 | 15d ago | |
| UCF101 | TC-CLIP | Base Accuracy95.5 | 71 | 2mo ago | |
| Caltech101 | MMRL++ | Base Score99.07 | 70 | 15d ago | |
| StanfordCars | Base Score83.93 | 69 | 15d ago | ||
| MedMNIST+ Base-to-New v2 | BioVLM | Base Accuracy57.84 | 20 | 1mo ago | |
| Average | PromptSRC + T_En | Base Score85.48 | 13 | 3mo ago | |
| MedMNIST+ OrganSMNIST Base-to-New v2 | BioVLM | Base Accuracy48.54 | 10 | 1mo ago | |
| MedMNIST OrganCMNIST Base-to-New v2 | BioVLM | Base Accuracy52.17 | 10 | 1mo ago | |
| MedMNIST+ OrganAMNIST Base-to-New v2 | BioVLM | Base Accuracy48 | 10 | 1mo ago | |
| MedMNIST+ TissueMNIST Base-to-New v2 | BioVLM | Base Set Score32.84 | 10 | 1mo ago | |
| MedMNIST+ BloodMNIST Base-to-New v2 | BioVLM | Base Accuracy68.94 | 10 | 1mo ago | |
| MedMNIST+ RetinaMNIST Base-to-New v2 | BioVLM | Accuracy (Base)49.14 | 10 | 1mo ago | |
| MedMNIST+ OCTMNIST Base-to-New v2 | PromptSRC | Accuracy (Base)76.07 | 10 | 1mo ago | |
| MedMNIST+ PathMNIST Base-to-New v2 | BioVLM | Base Accuracy92.73 | 10 | 1mo ago | |
| Flowers | SkipT. | Base Accuracy98.57 | 10 | 3mo ago | |
| Cars | SkipT. | Base Score0.8293 | 10 | 3mo ago | |
| Caltech | CoPro.* | Base Score98.6 | 10 | 3mo ago | |
| Average of 10 benchmark datasets | RPO | Base Accuracy81.31 | 10 | 3mo ago | |
| Average (PatternNet, RSICD, RESISC45, MLRSNet) | APPLeNet | Base Score92.52 | 8 | 3mo ago | |
| MLRSNet | TCP | Base Set Score86.9 | 8 | 3mo ago | |
| RESISC45 | APPLeNet | Base Accuracy91 | 8 | 3mo ago |
