Fine-Grained Visual Classification on SoyGlobal
81.2Top-1 AccuracyDHCNet
Evaluation results
| Method | Links | |
|---|---|---|
| DHCNetBackbone=Swin-B2026.04 | 81.2 | |
| FDCL-DABackbone=Swin-B2026.04 | 79.7 | |
| CSDNetBackbone=Swin-B2026.04 | 76.2 | |
| CLE-ViTBackbone=Swin-B2026.04 | 75.2 | |
| SIM-OFEBackbone=ViT-B2026.04 | 70.7 | |
| DHCNetBackbone=ResNet-502026.04 | 60.1 | |
| FDCL-DABackbone=ResNet-502026.04 | 54.2 | |
| CSDNetBackbone=ResNet-502026.04 | 51.1 | |
| MaskCOVBackbone=ResNet-502026.04 | 50.3 | |
| DeiTBackbone=ViT-B2026.04 | 45.3 | |
| DCLBackbone=ResNet-502026.04 | 42.2 | |
| BYOLBackbone=ResNet-502026.04 | 41.4 | |
| ADLBackbone=ResNet-502026.04 | 39.4 | |
| TransFGBackbone=ViT-B2026.04 | 21.2 |