Out-of-Distribution Detection on ImageNet-R (ROC-AUC)
0.995ROC AUCNUQ
Evaluation results
| Method | Links | |
|---|---|---|
| NUQBackbone=ResNet-50, Single-pass uncertainty estimation=true, Density estimator=KDE2022.02 | 0.995 | |
| TTABackbone=ResNet-50, Single-pass uncertainty estimation=false2022.02 | 0.858 | |
| SNGPBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.85 | |
| EnsembleBackbone=ResNet-50, Single-pass uncertainty estimation=false, Number of models=52022.02 | 0.844 | |
| EntropyBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.836 | |
| MaxProbBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.804 | |
| DDUBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.801 | |
| LAevaluation_mode=MI2026.04 | 0.7997 | |
| ETNevaluation_mode=MP2026.04 | 0.7942 | |
| EnergyBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.7834 | |
| ETNevaluation_mode=MI2026.04 | 0.7563 | |
| LAevaluation_mode=MP2026.04 | 0.7539 | |
| ETNevaluation_mode=DE2026.04 | 0.7488 | |
| DUQBackbone=ResNet-50, Single-pass uncertainty estimation=true2022.02 | 0.733 | |
| MAP_EDLevaluation_mode=DE2026.04 | 0.7155 | |
| MAP_EDLevaluation_mode=MI2026.04 | 0.7141 | |
| MAP_EDLevaluation_mode=MP2026.04 | 0.6811 | |
| MAP_CEevaluation_mode=MP2026.04 | 0.6743 | |
| MCDevaluation_mode=MP2026.04 | 0.6694 | |
| IB-EDLevaluation_mode=MP2026.04 | 0.5503 | |
| DeepEnsevaluation_mode=MP2026.04 | 0.5425 | |
| MCDevaluation_mode=MI2026.04 | 0.5002 | |
| DeepEnsevaluation_mode=MI2026.04 | 0.5001 | |
| IB-EDLevaluation_mode=MI2026.04 | 0.4963 | |
| IB-EDLevaluation_mode=DE2026.04 | 0.4942 | |
| DMMevaluation_mode=DE2026.04 | 0.4825 | |
| DMMevaluation_mode=MI2026.04 | 0.4824 | |
| DMMevaluation_mode=MP2026.04 | 0.4815 |