| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Food 101 | PromptKD + MERGETUNE | Base Score92.45 | 91 | 18d ago | |
| SUN397 | PromptKD + MERGETUNE | Base Score83.92 | 75 | 24d ago | |
| Flowers102 | PromptKD | Base Accuracy99.42 | 75 | 24d ago | |
| EuroSAT | PromptKD + MERGETUNE | Base Score97.81 | 72 | 24d ago | |
| UCF101 base-to-novel | ProVP | Base Score88.56 | 36 | 24d ago | |
| Average base-to-novel | 2SFS | Base Score85.55 | 33 | 24d ago | |
| Food200 | SCPT | Base Score67.04 | 24 | 18d ago | |
| ImageNet base-to-novel | PromptKD + MERGETUNE | Base Score80.89 | 22 | 5mo ago | |
| Oxford Flowers | 2SFSLayerNorm | Base Accuracy98.29 | 13 | 5mo ago | |
| StanfordCars (test) | MMRL++ | Base Accuracy81.33 | 12 | 5mo ago | |
| Average (K-400, HMDB-51, UCF-101, SSv2) | FROSTER | Top-1 Acc (Base)66.4 | 9 | 5mo ago | |
| SS v2 | FROSTER | Top-1 Acc (Base)18.3 | 9 | 5mo ago | |
| K-400 | TC-CLIP | Top-1 Acc (Base)79.1 | 9 | 5mo ago | |
| Food200 (test) | SCPT | Base Accuracy67.04 | 8 | 18d ago | |
| Food172 (test) | SCPT | Base Score79.06 | 8 | 18d ago | |
| Food172 | SCPT | Base Performance79.06 | 8 | 18d ago | |
| Veg200 (test) | SCPT | Base Score84.23 | 8 | 18d ago | |
| 6 remote sensing datasets average | AVION | Base Score95.64 | 8 | 4mo ago | |
| Biomedical datasets Average | BiomedCoOp | Base Accuracy76.26 | 6 | 5mo ago |
