Out-of-Distribution Detection on OpenImage-O (test)
86.2AUROCOODD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OODDBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 86.2 | — | — | 42.92 | |
| OCOBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 83.92 | — | — | 46.29 | |
| CoRPBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 82.65 | — | — | 49.56 | |
| ASH2026.03 | 81.47 | 52.33 | 39.33 | — | |
| FDBDBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 79.56 | — | — | 51.21 | |
| ReAct2026.03 | 79.34 | 55.89 | 35.97 | — | |
| OCOBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 79.09 | — | — | 52.37 | |
| CoRPBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 78.18 | — | — | 60.3 | |
| FDBDBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 77.91 | — | — | 55.21 | |
| SHE2026.03 | 76.92 | 69.38 | 34.1 | — | |
| GradNorm2026.03 | 76.85 | 76.76 | 36.1 | — | |
| NECOBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 76.43 | — | — | 56.37 | |
| DICE2026.03 | 76.42 | 66.53 | 33.37 | — | |
| RAS2026.03 | 75.85 | 53.36 | 26.31 | — | |
| MaxLogitBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 75.64 | — | — | 57.49 | |
| RAS HL2026.03 | 75.63 | 54.16 | 25.88 | — | |
| VIM2026.03 | 75.01 | 57.23 | 28.47 | — | |
| KLM2026.03 | 74.74 | 66.22 | 27.82 | — | |
| SCALEBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 74.66 | — | — | 57.15 | |
| EnergyBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 74.51 | — | — | 58.25 | |
| NECOBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 74.14 | — | — | 62.91 | |
| ODIN2026.03 | 73.4 | 65.45 | 24.8 | — | |
| MaxLogitBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 73.3 | — | — | 64.5 | |
| SCALEBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 72.93 | — | — | 62.41 | |
| MLS2026.03 | 72.66 | 60.39 | 23.75 | — | |
| GEN2026.03 | 72.62 | 57.67 | 23.8 | — | |
| EnergyBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 72.42 | — | — | 64.89 | |
| TempScale2026.03 | 72.32 | 64.35 | 23.83 | — | |
| EBO2026.03 | 72.22 | 60.55 | 23.52 | — | |
| RMDS2026.03 | 72.13 | 61.3 | 24.32 | — | |
| OODDBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 71.98 | — | — | 53.12 | |
| OpenMax2026.03 | 71.88 | 60.05 | 23.22 | — | |
| MSP2026.03 | 71.28 | 67.29 | 23.64 | — | |
| NNguideBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 70.95 | — | — | 70.46 | |
| KNN2026.03 | 69.98 | 65.03 | 23.61 | — | |
| SHEBackbone=ViT, Training Dataset=ImageNet-1k2026.05 | 69.96 | — | — | 77.84 | |
| NNguideBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 69.88 | — | — | 67.31 | |
| Gram2026.03 | 69.4 | 79.05 | 26.11 | — | |
| SHEBackbone=DINOv2, Training Dataset=ImageNet-1k2026.05 | 61.58 | — | — | 82.59 | |
| MDS2026.03 | 60.75 | 82.16 | 19.35 | — | |
| MDSEns2026.03 | 53.24 | 92.72 | 14.75 | — | |
| RankFeat2026.03 | 44.98 | 93.59 | 13.21 | — |