Fine-grained classification on ImageNet base classes
76.72AccuracyPenalty
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PenaltyPrompt Strategy=MaPLe2026.02 | 76.72 | 3.87 | |
| TCPTPrompt Strategy=MaPLe2026.02 | 76.72 | 2.39 | |
| MaPLe2026.02 | 76.71 | 2.27 | |
| Temp. Scal.Prompt Strategy=MaPLe2026.02 | 76.66 | 2.37 | |
| ZS-NormPrompt Strategy=MaPLe2026.02 | 76.63 | 1.64 | |
| TCPTPrompt Strategy=CoOp2026.02 | 76.53 | 2.47 | |
| PenaltyPrompt Strategy=CoOp2026.02 | 76.44 | 2.43 | |
| MBLSPrompt Strategy=KGCoOp2026.02 | 76.23 | 6.19 | |
| ZS-NormPrompt Strategy=CoOp2026.02 | 76.1 | 3.15 | |
| TCPTPrompt Strategy=KGCoOp2026.02 | 75.84 | 2.14 | |
| ZS-NormPrompt Strategy=KGCoOp2026.02 | 75.78 | 2.7 | |
| Temp. Scal.Prompt Strategy=KGCoOp2026.02 | 75.77 | 6.47 | |
| KGCoOp2026.02 | 75.75 | 2.52 | |
| PenaltyPrompt Strategy=KGCoOp2026.02 | 75.65 | 2.73 | |
| CoOp2026.02 | 75.6 | 1.65 | |
| Temp. Scal.Prompt Strategy=CoOp2026.02 | 75.6 | 1.5 | |
| MBLSPrompt Strategy=MaPLe2026.02 | 75.59 | 29.06 | |
| MBLSPrompt Strategy=CoOp2026.02 | 75.12 | 2.98 | |
| Zero Shot2026.02 | 72.4 | 1.51 |