Segmentation on ImageNet Segmentation
85.78Pixel AccuracySVO
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SVOBackbone=Ours-R2025.12 | 85.78 | 87.67 | 66.96 | |
| SVOBackbone=Ours-V2025.12 | 83.79 | 86.98 | 66.38 | |
| HarsanyiNetBackbone=HarsanyiNet2025.12 | 83.16 | 86.97 | 66.03 | |
| BagNetBackbone=BagNet2025.12 | 82.76 | 86.72 | 66.77 | |
| TokenTMBackbone=ViT-B2025.12 | 81.43 | 85.17 | 64.77 | |
| CheferLRPBackbone=ViT-B2025.12 | 79.89 | 85.63 | 60.97 | |
| GAMEBackbone=ViT-B2025.12 | 78.17 | 85.15 | 60.18 | |
| B-cosBackbone=B-cos-R2025.12 | 77.92 | 82.16 | 61.32 | |
| B-cosifiedBackbone=B-cosified-R2025.12 | 77.91 | 81.97 | 61.31 | |
| ViTShapleyBackbone=ViT-B2025.12 | 77.47 | 80.92 | 58.18 | |
| IDGIBackbone=ResNet-502025.12 | 76.42 | 79.19 | 58.82 | |
| B-cosifiedBackbone=B-cosified-V2025.12 | 75.57 | 80.86 | 60.43 | |
| B-cosBackbone=B-cos-V2025.12 | 75.56 | 80.27 | 60.83 | |
| FastSHAPBackbone=ResNet-502025.12 | 73.92 | 79.53 | 56.67 | |
| Grad-CAMBackbone=ResNet-502025.12 | 68.92 | 79.51 | 45.34 | |
| Grad-CAMBackbone=ViT-B2025.12 | 66.83 | 77.89 | 45.14 | |
| IGBackbone=ResNet-502025.12 | 64.34 | 68.66 | 40.78 | |
| X-DNNsBackbone=X-DNNs2025.12 | 64.21 | 72.94 | 49.01 | |
| CAEBackbone=ResNet-502025.12 | 61.87 | 73.73 | 40.63 | |
| ProtoPNetBackbone=ProtoPNet2025.12 | 59.76 | 64.48 | 40.82 | |
| RolloutBackbone=ViT-B2025.12 | 58.18 | 73.63 | 39.25 | |
| ATTCATBackbone=ViT-B2025.12 | 41.18 | 47.89 | 28.05 |