Fine-Grained Visual Classification on Caltech Birds-200
85.73Top-1 AccuracyS2-FracMix
Evaluation results
| Method | Links | |
|---|---|---|
| S2-FracMixBackbone=ResNet502026.06 | 85.73 | |
| AdAutoMixBackbone=ResNet502026.06 | 84.57 | |
| AutoMixBackbone=ResNet502026.06 | 83.88 | |
| PuzzleMixBackbone=ResNet502026.06 | 83.83 | |
| ManifoldMixBackbone=ResNet502026.06 | 83.76 | |
| ResizeMixBackbone=ResNet502026.06 | 83.41 | |
| FMixBackbone=ResNet502026.06 | 83.34 | |
| CutMixBackbone=ResNet502026.06 | 83.17 | |
| MixUpBackbone=ResNet502026.06 | 82.98 | |
| VanillaBackbone=ResNet502026.06 | 82.38 | |
| S2-FracMixBackbone=ResNet182026.06 | 81.84 | |
| SaliencyMixBackbone=ResNet502026.06 | 81.71 | |
| AdAutoMixBackbone=ResNet182026.06 | 80.88 | |
| AutoMixBackbone=ResNet182026.06 | 79.87 | |
| ManifoldMixBackbone=ResNet182026.06 | 79.76 | |
| PuzzleMixBackbone=ResNet182026.06 | 78.63 | |
| ResizeMixBackbone=ResNet182026.06 | 78.5 | |
| CutMixBackbone=ResNet182026.06 | 78.4 | |
| MixUpBackbone=ResNet182026.06 | 78.39 | |
| SaliencyMixBackbone=ResNet182026.06 | 77.95 | |
| VanillaBackbone=ResNet182026.06 | 77.68 | |
| FMixBackbone=ResNet182026.06 | 77.28 |