Fine-grained Classification on Cub-Paintings 1.0 (test)
70.94Accuracy (C -> P)CFSG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CFSGBackbone=VMamba-Based, Params=35M2026.01 | 70.94 | 73.75 | 72.35 | |
| CFSGBackbone=ResNet-Based, Params=28M2026.01 | 67.5 | 65.62 | 66.56 | |
| HSSHBackbone=VMamba-Based, Params=35M2026.01 | 67.48 | 64.57 | 66.03 | |
| PAN(DA)Backbone=ResNet-Based, Params=103M2026.01 | 67.4 | 50.92 | 59.16 | |
| S-CFSGBackbone=ResNet-Based, Params=28M2026.01 | 64.06 | 54.06 | 59.06 | |
| S-FSDGBackbone=ResNet-Based, Params=26M2026.01 | 63.42 | 44.87 | 54.14 | |
| FSDGBackbone=ResNet-Based, Params=26M2026.01 | 61.84 | 49.46 | 55.65 | |
| SAGMBackbone=ResNet-Based, Params=23M2026.01 | 57.83 | 37.16 | 47.5 | |
| SagNetBackbone=ResNet-Based, Params=24M2026.01 | 56.33 | 36.71 | 46.52 | |
| MIROBackbone=ResNet-Based, Params=47M2026.01 | 56.29 | 41.28 | 48.79 | |
| MLDGBackbone=ResNet-Based, Params=23M2026.01 | 55.4 | 34.15 | 44.78 | |
| ERMBackbone=ResNet-Based, Params=24M2026.01 | 54.94 | 35.67 | 45.31 | |
| GroupDROBackbone=ResNet-Based, Params=23M2026.01 | 54.94 | 35.67 | 45.31 | |
| CORALBackbone=ResNet-Based, Params=23M2026.01 | 54.7 | 35.29 | 45 | |
| MixupBackbone=ResNet-Based, Params=23M2026.01 | 54.58 | 34.66 | 44.62 | |
| DANNBackbone=ResNet-Based, Params=24M2026.01 | 54.06 | 37.09 | 45.57 | |
| MixStyleBackbone=ResNet-Based, Params=23M2026.01 | 52.97 | 28.44 | 40.71 | |
| ARMBackbone=ResNet-Based, Params=24M2026.01 | 47.98 | 31.53 | 39.76 | |
| RIDGBackbone=ResNet-Based, Params=24M2026.01 | 36.41 | 24.11 | 30.26 |