| DTD | +DPC | Base Accuracy86.88 | | 68 | 4d ago |
| ImageNet | | Base Accuracy82 | | 67 | 4d ago |
| FGVCAircraft | 2SFS | Base Performance51.58 | | 64 | 4d ago |
| UCF101 | TC-CLIP | Base Accuracy95.5 | | 57 | 4d ago |
| Avg over 11 datasets | 2SFS | Base Score88.11 | | 53 | 4d ago |
| OxfordPets | PromptKD + MERGETUNE | Base Score96.63 | | 48 | 4d ago |
| Caltech101 | PromptKD + MERGETUNE | Base Score98.93 | | 44 | 4d ago |
| StanfordCars | | Base Score83.93 | | 41 | 4d ago |
| Average | PromptSRC + T_En | Base Score85.48 | | 13 | 4d ago |
| Flowers | SkipT. | Base Accuracy98.57 | | 10 | 4d ago |
| Cars | SkipT. | Base Score0.8293 | | 10 | 4d ago |
| Caltech | CoPro.* | Base Score98.6 | | 10 | 4d ago |
| Average of 10 benchmark datasets | RPO | Base Accuracy81.31 | | 10 | 4d ago |
| Average (PatternNet, RSICD, RESISC45, MLRSNet) | APPLeNet | Base Score92.52 | | 8 | 4d ago |
| MLRSNet | TCP | Base Set Score86.9 | | 8 | 4d ago |
| RESISC45 | APPLeNet | Base Accuracy91 | | 8 | 4d ago |
| RSICD | BiMoRS | Base Score96.4 | | 8 | 4d ago |
| PatternNet | MaPLe | Base Set Score97.5 | | 8 | 4d ago |
| Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 16-shot | CoOp | Base Performance0.8263 | | 8 | 4d ago |
| Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 8-shot | CoOp | Base Score80.73 | | 8 | 4d ago |
| DTD (test) | CoOp | Base Performance80.17 | | 5 | 4d ago |
| 11 datasets average (test) | CoOp | Training Time (ms/img)6 | | 4 | 4d ago |
