OOD Detection on SSB Hard
76.82FPR@95OCO
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OCOModel=ViT2026.05 | 76.82 | 73.21 | |
| OCOModel=DINOv22026.05 | 78.43 | 72.13 | |
| SHEModel=DINOv22026.05 | 79.28 | 68.9 | |
| OODDModel=DINOv22026.05 | 80.12 | 76.22 | |
| GENBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 82.24 | 70.09 | |
| EPDBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 82.41 | 72.21 | |
| MaxLogitModel=DINOv22026.05 | 83.16 | 64.53 | |
| MDSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 83.47 | 71.57 | |
| SCALEModel=DINOv22026.05 | 83.5 | 63.42 | |
| EnergyModel=DINOv22026.05 | 83.58 | 63.62 | |
| NECOModel=DINOv22026.05 | 83.63 | 64.17 | |
| MaxLogitModel=ViT2026.05 | 84.13 | 67.78 | |
| FDBDModel=DINOv22026.05 | 84.21 | 65.45 | |
| OODDModel=ViT2026.05 | 84.34 | 72.05 | |
| SCALEModel=ViT2026.05 | 84.42 | 67.79 | |
| RMDSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 84.53 | 72.87 | |
| EnergyModel=ViT2026.05 | 84.54 | 67.29 | |
| CoRPModel=DINOv22026.05 | 84.99 | 62.44 | |
| NNguideModel=ViT2026.05 | 85.54 | 62.02 | |
| SHEBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 85.74 | 68.04 | |
| KNNBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 86.22 | 65.97 | |
| MSPBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 86.41 | 68.94 | |
| NECOModel=ViT2026.05 | 86.53 | 70.27 | |
| TempScaleBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 87.36 | 68.55 | |
| NNguideModel=DINOv22026.05 | 87.67 | 57.15 | |
| FDBDModel=ViT2026.05 | 88.5 | 64.31 | |
| CoRPModel=ViT2026.05 | 88.73 | 60.07 | |
| OpenMaxBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 89.2 | 68.6 | |
| DICEBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 89.77 | 59.05 | |
| SHEModel=ViT2026.05 | 89.97 | 59.99 | |
| ViMBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 90.06 | 69.42 | |
| ReActBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 90.46 | 63.1 | |
| MLSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 91.52 | 64.2 | |
| EBOBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 92.25 | 58.8 | |
| ASHBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 93.5 | 53.89 | |
| GradNormBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 93.62 | 42.96 |