Fine-grained Visual Recognition on CUB (test)
79.37All-Shot AccuracyDIFFUSEMIX
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DIFFUSEMIXBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 79.37 | — | — | |
| GuidedMixupBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 77.08 | — | — | |
| SnapMixBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 75.53 | — | — | |
| PuzzleMixBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 74.85 | — | — | |
| Guided-SRBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 74.08 | — | — | |
| Co-MixupBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 72.83 | — | — | |
| CutMixBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 72.58 | — | — | |
| MixupBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 71.33 | — | — | |
| Saliency MixBackbone=ResNet-50, Training protocol=from scratch, Category=mixup family2024.04 | 66.66 | — | — | |
| FSKDAuxKps=true2021.12 | 66.37 | 38.04 | 61.74 | |
| FSKDAuxKps=false2021.12 | 66.25 | 37.45 | 61.22 | |
| VanillaBackbone=ResNet-50, Training protocol=from scratch, Category=automated2024.04 | 65.5 | — | — | |
| Proto+PNnormalization=pose normalization2021.12 | 63.51 | 35.92 | 58.66 | |
| Proto+bbNnormalization=bounding box normalization2021.12 | 44.61 | 23.97 | 40.22 | |
| Proto2021.12 | 41.79 | 23.03 | 38.05 | |
| Proto+BPpooling=Bilinear Pooling2021.12 | 38.34 | 18.43 | 33.63 |