Fine-Grained Visual Classification on SoyAgeing
90Top 1 AccuracyDHCNet
Evaluation results
| Method | Links | |
|---|---|---|
| DHCNetBackbone=Swin-B2026.04 | 90 | |
| FDCL-DABackbone=Swin-B2026.04 | 85.1 | |
| CSDNetBackbone=Swin-B2026.04 | 83.2 | |
| DHCNetBackbone=ResNet-502026.04 | 82.6 | |
| CLE-ViTBackbone=Swin-B2026.04 | 82.1 | |
| CSDNetBackbone=ResNet-502026.04 | 78 | |
| FDCL-DABackbone=ResNet-502026.04 | 76.9 | |
| MaskCOVBackbone=ResNet-502026.04 | 75.9 | |
| DCLBackbone=ResNet-502026.04 | 73.2 | |
| TransFGBackbone=ViT-B2026.04 | 72.2 | |
| DeiTBackbone=ViT-B2026.04 | 69.5 | |
| BYOLBackbone=ResNet-502026.04 | 64.8 | |
| ADLBackbone=ResNet-502026.04 | 61.7 | |
| SIM-OFEBackbone=ViT-B2026.04 | 34.8 |