Fine-grained Visual Classification on Stanford Cars 24 (test)
91.26Top-1 AccuracyDIFFUSEMIX
Evaluation results
| Method | Links | |
|---|---|---|
| DIFFUSEMIXBackbone=ResNet-502024.04 | 91.26 | |
| Guided-APBackbone=ResNet-502024.04 | 90.27 | |
| SnapMixBackbone=ResNet-502024.04 | 90.1 | |
| PuzzleMixBackbone=ResNet-502024.04 | 89.68 | |
| Co-MixupBackbone=ResNet-502024.04 | 89.53 | |
| CutMixBackbone=ResNet-502024.04 | 89.22 | |
| AdaAugBackbone=ResNet-502024.04 | 88.49 | |
| MixupBackbone=ResNet-502024.04 | 88.14 | |
| RABackbone=ResNet-502024.04 | 87.79 | |
| VanillaBackbone=ResNet-502024.04 | 85.52 |