Out-of-Distribution Detection on ImageNet-1K Near-OOD OpenOOD v1.5
84.84AUROCSCALE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SCALEEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 84.84 | 57.29 | — | |
| ISH (Ours)Backbone=ResNet50, Training Strategy=ISH, Epochs=90+10, Postprocessor=SCALE2023.09 | 84.01 | 55.73 | 76.74 | |
| AugMixBackbone=ResNet50, Training Strategy=AugMix, Epochs=180, Postprocessor=SCALE2023.09 | 83.55 | 60.58 | 77.64 | |
| MSPEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 83.34 | 54.82 | — | |
| LogitNorm+SPCPEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 83.2 | 55.33 | — | |
| AggBBAS-ECBackbone=Swin-T2026.03 | 83.02 | — | — | |
| T2FNormEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 83 | 55.01 | — | |
| ResNet50 TorchVision Model ExtendedBackbone=ResNet50, Training Strategy=TorchVision Model Extended, Epochs=90+10, Postprocessor=SCALE2023.09 | 82.67 | 59.25 | 76.84 | |
| LogitNormEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 82.66 | 56.46 | — | |
| SPCPEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 82.52 | 59.77 | — | |
| EnergyEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 82.5 | 60.24 | — | |
| ASHEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 82.38 | 64.89 | — | |
| AggBBAS-ECBackbone=ViT-B/162026.03 | 82.33 | — | — | |
| AggBBAS-EDBackbone=Swin-T2026.03 | 82.33 | — | — | |
| ANTSzero-shot=true2025.09 | 82.15 | 60.98 | — | |
| BBAS-ECBackbone=ViT-B/162026.03 | 81.97 | — | — | |
| ReActEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 81.87 | 62.49 | — | |
| DICEEvaluation Protocol=Post-hoc methods (vanilla training with cross-entropy), Backbone=ResNet-182026.03 | 81.78 | 61.88 | — | |
| BBAS-EDBackbone=ViT-B/162026.03 | 81.75 | — | — | |
| ResNet50 TorchVision ModelBackbone=ResNet50, Training Strategy=TorchVision Model, Epochs=90, Postprocessor=SCALE2023.09 | 81.36 | 59.76 | 76.13 | |
| SNNEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 81.33 | 59.85 | — | |
| BBAS-ECBackbone=Swin-T2026.03 | 81.31 | — | — | |
| AggBBAS-EDBackbone=ViT-B/162026.03 | 81.2 | — | — | |
| UMAPEvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 81.08 | 60.81 | — | |
| BBAS-EDBackbone=Swin-T2026.03 | 80.97 | — | — | |
| RegMixupBackbone=ResNet50, Training Strategy=RegMixup, Epochs=90+30, Postprocessor=SCALE2023.09 | 80.85 | 63.55 | 76.88 | |
| CIDEREvaluation Protocol=Training-time regularization methods, Backbone=ResNet-182026.03 | 80.58 | 60.1 | — | |
| RMDSBackbone=ViT-B/162026.03 | 80.09 | — | — | |
| MDSBackbone=ViT-B/162026.03 | 79.04 | — | — | |
| GENBackbone=Swin-T2026.03 | 78.97 | — | — | |
| RMDSBackbone=Swin-T2026.03 | 78.34 | — | — | |
| SynOODzero-shot=true2025.09 | 77.55 | 71.68 | — | |
| VIMBackbone=ViT-B/162026.03 | 77.03 | — | — | |
| NegLabelzero-shot=true2025.09 | 76.92 | 68.18 | — | |
| MSPBackbone=Swin-T2026.03 | 76.75 | — | — | |
| AdaNegzero-shot=true2025.09 | 76.7 | 67.51 | — | |
| SHEBackbone=Swin-T2026.03 | 76.59 | — | — | |
| GENBackbone=ViT-B/162026.03 | 76.3 | — | — | |
| SHEBackbone=ViT-B/162026.03 | 76.11 | — | — | |
| VIMBackbone=Swin-T2026.03 | 75.24 | — | — | |
| MDSBackbone=Swin-T2026.03 | 75.18 | — | — | |
| LogitNormTraining Strategy=LogitNorm, Epochs=90+30, Postprocessor=MSP2023.09 | 74.62 | 68.56 | 76.45 | |
| KNNBackbone=ViT-B/162026.03 | 74.11 | — | — | |
| MSPBackbone=ViT-B/162026.03 | 73.52 | — | — | |
| KNNBackbone=Swin-T2026.03 | 71.62 | — | — | |
| CIDERTraining Strategy=CIDER, Epochs=90+30, Postprocessor=KNN2023.09 | 68.97 | 71.69 | — | |
| ODINBackbone=Swin-T2026.03 | 68.15 | — | — | |
| EOEzero-shot=true2025.09 | 66.94 | 82.93 | — | |
| MCMzero-shot=true2025.09 | 60.11 | 79.02 | — | |
| ASHBackbone=ViT-B/162026.03 | 53.21 | — | — | |
| ASHBackbone=Swin-T2026.03 | 46.47 | — | — |