Fine-grained Classification on OxfordPets Base classes
97.65AccuracyZS-Norm
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ZS-NormPrompt Strategy=KGCoOp2026.02 | 97.65 | 3.51 | |
| ZS-NormPrompt Strategy=MaPLe2026.02 | 95.7 | 5.91 | |
| MaPLe2026.02 | 95.53 | 2.68 | |
| PenaltyPrompt Strategy=MaPLe2026.02 | 95.3 | 6.37 | |
| MBLSPrompt Strategy=MaPLe2026.02 | 95.23 | 6.64 | |
| PenaltyPrompt Strategy=CoOp2026.02 | 95.11 | 6.47 | |
| MBLSPrompt Strategy=KGCoOp2026.02 | 95 | 5.26 | |
| TCPTPrompt Strategy=CoOp2026.02 | 94.95 | 1.94 | |
| Temp. Scal.Prompt Strategy=MaPLe2026.02 | 94.93 | 2.28 | |
| TCPTPrompt Strategy=MaPLe2026.02 | 94.93 | 1.54 | |
| TCPTPrompt Strategy=KGCoOp2026.02 | 94.84 | 2.96 | |
| CoOp2026.02 | 94.77 | 1 | |
| KGCoOp2026.02 | 94.68 | 3.27 | |
| PenaltyPrompt Strategy=KGCoOp2026.02 | 94.68 | 3.22 | |
| Temp. Scal.Prompt Strategy=KGCoOp2026.02 | 94.67 | 5.13 | |
| ZS-NormPrompt Strategy=CoOp2026.02 | 94.38 | 7.75 | |
| Temp. Scal.Prompt Strategy=CoOp2026.02 | 94.15 | 2.54 | |
| PenaltyBackbone=ViT-B/322026.02 | 93.22 | 6.66 | |
| TCPTBackbone=ViT-B/322026.02 | 93.14 | 1.68 | |
| CoOpBackbone=ViT-B/322026.02 | 92.71 | 2.45 | |
| PenaltyBackbone=RN-502026.02 | 92.1 | 8.69 | |
| ZS-NormBackbone=ViT-B/322026.02 | 92.08 | 7.96 | |
| Zero Shot2026.02 | 91.3 | 2.25 | |
| MBLSPrompt Strategy=CoOp2026.02 | 91.11 | 7.7 | |
| TCPTBackbone=RN-502026.02 | 91.08 | 2.21 | |
| ZS-NormBackbone=RN-502026.02 | 90.96 | 5.63 | |
| CoOpBackbone=RN-502026.02 | 90.5 | 2.32 |