Image Classification on SoyGene
88.7Top 1 AccuracyGAEor
Evaluation results
| Method | Links | |
|---|---|---|
| GAEorBackbone=Swin-B2026.04 | 88.7 | |
| CSDNetBackbone=Swin-B2026.04 | 86.9 | |
| Mix-ViTBackbone=ViT-B&R502026.04 | 79.9 | |
| CLE-ViTBackbone=Swin-B2026.04 | 78.5 | |
| MaskCOVBackbone=ResNet-502026.04 | 73.6 | |
| DCLBackbone=ResNet-502026.04 | 71.4 | |
| FDCL-DABackbone=ResNet-502026.04 | 70 | |
| DeiTBackbone=ViT-B2026.04 | 66.8 | |
| CSDNetBackbone=ResNet-502026.04 | 66.5 | |
| SimCLRBackbone=ResNet-502026.04 | 62.7 | |
| ILABackbone=ViT-B2026.04 | 62.2 | |
| ADLBackbone=ResNet-502026.04 | 55.2 | |
| TransFGBackbone=ViT-B2026.04 | 22.4 | |
| SIM-OFEBackbone=ViT-B2026.04 | 15.5 |