Few-Shot Fine-grained Classification on Birds (CUB-200) 2011
24.03Top-1 Accuracy (1-shot)Diff-Mix
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Diff-MixBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 24.03 | 63.41 | 73.56 | 53.67 | |
| Diff-IIBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 20.34 | 61.29 | 72.96 | 51.53 | |
| DA-FusionBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 19.21 | 59.37 | 70.91 | 49.83 | |
| Diff-AugBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 18.37 | 60.12 | 71.83 | 50.11 | |
| Real GuidanceBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 17.29 | 52.78 | 69.94 | 46.67 | |
| GIFBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 17.09 | 52.32 | 67.76 | 45.72 | |
| DiffuseMixBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 16.34 | 54.48 | 68.44 | 46.42 | |
| BaselineBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 16.2 | 52.24 | 69.94 | 46.13 | |
| MixupBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 13.91 | 48.51 | 67.4 | 43.27 | |
| CutMixBackbone=ResNet-50, Pre-trained=ImageNet2026.03 | 12.45 | 35.47 | 59.49 | 35.8 |