Image Classification on SUN397 Base-to-Novel
83.2Base AccuracyMMRL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MMRL2026.05 | 83.2 | 79.3 | 81.2 | |
| MMRL + NeRPRefining Method=NeRP2026.05 | 83.2 | 79.6 | 81.36 | |
| PromptSRC2026.05 | 82.67 | 78.47 | 80.52 | |
| PromptSRC + NeRPRefining Method=NeRP2026.05 | 82.67 | 78.9 | 80.74 | |
| CoPrompt2026.05 | 82.63 | 80.03 | 81.3 | |
| SkipT2026.05 | 82.4 | 79.03 | 80.68 | |
| MMA2026.05 | 82.27 | 78.57 | 80.38 | |
| MMA + NeRPRefining Method=NeRP2026.05 | 82.27 | 78.77 | 80.48 | |
| MaPLe2026.05 | 80.82 | 78.7 | 79.75 | |
| CoOp2026.05 | 80.6 | 65.89 | 72.51 | |
| CoCoOp2026.05 | 79.74 | 76.86 | 78.27 | |
| CoCoOp + NeRPRefining Method=NeRP2026.05 | 79.74 | 77.46 | 78.58 |