Far-OOD Detection on Average (CIFAR-10, CIFAR-100, ImageNet-200)
91.17AUROCG-ODIN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| G-ODINLearning Setup=Training methods without outliers2025.11 | 91.17 | 31.44 | |
| LogitNormLearning Setup=Training methods without outliers2025.11 | 90.44 | 31.18 | |
| RankOODLearning Setup=Training methods without outliers2025.11 | 89.65 | 32.04 | |
| KNNLearning Setup=Post-hoc inference methods2025.11 | 89.51 | 35.06 | |
| CRAFTLearning Setup=Training methods without outliers2025.11 | 88.95 | 34.64 | |
| VIMLearning Setup=Post-hoc inference methods2025.11 | 88.81 | 34.33 | |
| OELearning Setup=Training methods with outliers2025.11 | 88.81 | 34.04 | |
| CIDERLearning Setup=Training methods without outliers2025.11 | 88.62 | 35.04 | |
| ExCeLLearning Setup=Post-hoc inference methods2025.11 | 88.57 | 40.24 | |
| RMDSLearning Setup=Post-hoc inference methods2025.11 | 87.73 | 36.87 | |
| ReActLearning Setup=Post-hoc inference methods2025.11 | 87.71 | 42.53 | |
| GENLearning Setup=Post-hoc inference methods2025.11 | 87.46 | 41.18 | |
| MLSLearning Setup=Post-hoc inference methods2025.11 | 87.29 | 44.15 | |
| EBOLearning Setup=Post-hoc inference methods2025.11 | 87.28 | 44.38 | |
| TempScaleLearning Setup=Post-hoc inference methods2025.11 | 86.84 | 41.81 | |
| MSPLearning Setup=Post-hoc inference methods2025.11 | 86.21 | 41.95 | |
| MixOELearning Setup=Training methods with outliers2025.11 | 85.53 | 46.22 | |
| UDGLearning Setup=Training methods with outliers2025.11 | 85.25 | 47.13 | |
| MCDLearning Setup=Training methods with outliers2025.11 | 84.89 | 38.78 | |
| ASHLearning Setup=Post-hoc inference methods2025.11 | 84.32 | 55.17 | |
| ConfBranchLearning Setup=Training methods without outliers2025.11 | 84.06 | 42.68 |