Out-of-Distribution Detection on CIFAR100 LT
82.61AUCHPM
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| HPMModel=PATT, Auxiliary Outlier Exposure=False2026.05 | 82.61 | — | — | — | — | 45.56 | 51.33 | 2.03 | |
| HPMModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 81.41 | — | — | — | — | 46.81 | 48.22 | 2.03 | |
| EnergyModel=PATT, Auxiliary Outlier Exposure=False2026.05 | 80.29 | — | — | — | — | 52.72 | 51.33 | 2.03 | |
| HPMModel=DARL, Auxiliary Outlier Exposure=False2026.05 | 79.31 | — | — | — | — | 59.35 | 56.63 | 2.25 | |
| HPMModel=PASCL, Auxiliary Outlier Exposure=False2026.05 | 79.3 | — | — | — | — | 58.46 | 50.88 | 2.43 | |
| MSPModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 78.73 | — | — | — | — | 53.96 | 48.22 | 2.03 | |
| HPMModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 78.35 | — | — | — | — | 56.92 | 51.91 | 3.08 | |
| VMF-GOSBackbone=ResNet-182026.02 | 77.05 | — | — | — | 73.28 | 61.99 | — | — | |
| HPMModel=COCL, Auxiliary Outlier Exposure=False2026.05 | 76.86 | — | — | — | — | 66.57 | 45.99 | 2.82 | |
| PATTBackbone=ResNet-182026.02 | 76.25 | — | — | — | 70.37 | 62.94 | — | — | |
| EnergyModel=PASCL, Auxiliary Outlier Exposure=False2026.05 | 76.2 | — | — | — | — | 64.42 | 50.88 | 2.43 | |
| HC-MDModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 75.72 | — | — | — | — | 58.08 | 48.22 | 2.03 | |
| EATBackbone=ResNet-182026.02 | 74.41 | — | — | — | 69.57 | 65.05 | — | — | |
| EnergyModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 73.86 | — | — | — | — | 57.89 | 48.22 | 2.03 | |
| EnergyModel=COCL, Auxiliary Outlier Exposure=True2026.05 | 73.46 | — | — | — | — | 68.85 | 45.1 | 2.77 | |
| EnergyModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 73.44 | — | — | — | — | 67.64 | 51.91 | 3.08 | |
| PASCLBackbone=ResNet-182026.02 | 73.32 | — | — | — | 67.18 | 67.44 | — | — | |
| OEBackbone=ResNet-182026.02 | 72.91 | — | — | — | 67.16 | 68.89 | — | — | |
| HPMModel=AdaptOD, Auxiliary Outlier Exposure=False2026.05 | 72.82 | — | — | — | — | 69.86 | 35.86 | 2.86 | |
| AdaptOD2024.10 | 72.77 | 76.37 | 70.58 | 86.04 | — | — | — | — | |
| HC-MDModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 71.95 | — | — | — | — | 66.46 | 51.91 | 3.08 | |
| HPMModel=COCL, Auxiliary Outlier Exposure=True2026.05 | 71.4 | — | — | — | — | 69.95 | 45.1 | 2.77 | |
| EnergyOEBackbone=ResNet-182026.02 | 71.1 | — | — | — | 67.23 | 71.78 | — | — | |
| EnergyModel=AdaptOD, Auxiliary Outlier Exposure=False2026.05 | 70.96 | — | — | — | — | 71.68 | 35.86 | 2.86 | |
| DARLBackbone=ResNet-182026.02 | 70.35 | — | — | — | 67.82 | 83.73 | — | — | |
| HPMModel=EAT, Auxiliary Outlier Exposure=False2026.05 | 70.09 | — | — | — | — | 75.21 | 41.39 | 1.82 | |
| EnergyModel=COCL, Auxiliary Outlier Exposure=False2026.05 | 70.04 | — | — | — | — | 72.35 | 45.99 | 2.82 | |
| EnergyModel=EAT, Auxiliary Outlier Exposure=True2026.05 | 68.04 | — | — | — | — | 75.26 | 43.7 | 1.8 | |
| MSPModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 67.96 | — | — | — | — | 73.05 | 51.91 | 3.08 | |
| EnergyModel=AdaptOD, Auxiliary Outlier Exposure=True2026.05 | 67.22 | — | — | — | — | 73.76 | 32.98 | 2.8 | |
| MahalanobisModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 65.3 | — | — | — | — | 70.76 | 48.22 | 2.03 | |
| EnergyModel=EAT, Auxiliary Outlier Exposure=False2026.05 | 63.6 | — | — | — | — | 81.13 | 41.39 | 1.82 | |
| HPMModel=EAT, Auxiliary Outlier Exposure=True2026.05 | 63.39 | — | — | — | — | 83.81 | 43.7 | 1.8 | |
| EnergyModel=DARL, Auxiliary Outlier Exposure=False2026.05 | 62.17 | — | — | — | — | 78.5 | 56.63 | 2.25 | |
| COCL2024.10 | 62.05 | 66.14 | 56.82 | 93.88 | — | — | — | — | |
| EnergyOE2024.10 | 61.15 | 67.12 | 56.66 | 91.42 | — | — | — | — | |
| ST(MSP)Backbone=ResNet-182026.02 | 61 | — | — | — | 57.54 | 82.01 | — | — | |
| MSPModel=AdaptOD, Auxiliary Outlier Exposure=True2026.05 | 59.85 | — | — | — | — | 84.38 | 32.98 | 2.8 | |
| RP-MDModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 54.81 | — | — | — | — | 90.77 | 51.91 | 3.08 | |
| HPMModel=AdaptOD, Auxiliary Outlier Exposure=True2026.05 | 51.42 | — | — | — | — | 89.33 | 32.98 | 2.8 | |
| MahalanobisModel=PC-ERM, Auxiliary Outlier Exposure=False2026.05 | 50.4 | — | — | — | — | 91.26 | 51.91 | 3.08 | |
| RP-MDModel=PATT, Auxiliary Outlier Exposure=True2026.05 | 44.13 | — | — | — | — | 90.77 | 48.22 | 2.03 | |
| DNETraining Method=DNE, TTA Method=DODA2024.10 | 0.8193 | 0.8309 | 0.7783 | 0.6737 | — | — | — | — | |
| DNETraining Method=DNE, TTA Method=AdaODD2024.10 | 0.8026 | 0.8172 | 0.7562 | 0.7196 | — | — | — | — | |
| COCLTraining Method=COCL, TTA Method=DODA2024.10 | 0.7981 | 0.8126 | 0.7593 | 0.7014 | — | — | — | — | |
| BERLTraining Method=BERL, TTA Method=DODA2024.10 | 0.7945 | 0.8115 | 0.7552 | 0.7051 | — | — | — | — | |
| EnergyOETraining Method=EnergyOE, TTA Method=DODA2024.10 | 0.794 | 0.8089 | 0.7654 | 0.7263 | — | — | — | — | |
| DNETraining Method=DNE, TTA Method=AUTO2024.10 | 0.7936 | 0.8019 | 0.7481 | 0.721 | — | — | — | — | |
| COCLTraining Method=COCL, TTA Method=AdaODD2024.10 | 0.7907 | 0.8 | 0.746 | 0.7309 | — | — | — | — | |
| COCLTraining Method=COCL, TTA Method=AUTO2024.10 | 0.7885 | 0.7999 | 0.7401 | 0.7275 | — | — | — | — | |
| BERLTraining Method=BERL, TTA Method=AdaODD2024.10 | 0.7826 | 0.7894 | 0.7361 | 0.7376 | — | — | — | — | |
| COCLTraining Method=COCL, TTA Method=w/o TTA2024.10 | 0.7825 | 0.7937 | 0.7358 | 0.7409 | — | — | — | — | |
| BERLTraining Method=BERL, TTA Method=AUTO2024.10 | 0.7799 | 0.785 | 0.735 | 0.7403 | — | — | — | — | |
| DNETraining Method=DNE, TTA Method=w/o TTA2024.10 | 0.7792 | 0.7897 | 0.7392 | 0.7444 | — | — | — | — | |
| BERLTraining Method=BERL, TTA Method=w/o TTA2024.10 | 0.7775 | 0.7861 | 0.731 | 0.7486 | — | — | — | — | |
| EnergyOETraining Method=EnergyOE, TTA Method=AdaODD2024.10 | 0.7767 | 0.7847 | 0.7405 | 0.7486 | — | — | — | — | |
| EnergyOETraining Method=EnergyOE, TTA Method=AUTO2024.10 | 0.7765 | 0.7811 | 0.7418 | 0.7466 | — | — | — | — | |
| EnergyOETraining Method=EnergyOE, TTA Method=w/o TTA2024.10 | 0.764 | 0.7732 | 0.7224 | 0.7633 | — | — | — | — | |
| OETraining Method=OE, TTA Method=DODA2024.10 | 0.7546 | 0.7714 | 0.6988 | 0.8367 | — | — | — | — | |
| OETraining Method=OE, TTA Method=AdaODD2024.10 | 0.7467 | 0.7653 | 0.6789 | 0.8534 | — | — | — | — | |
| OETraining Method=OE, TTA Method=AUTO2024.10 | 0.7393 | 0.7598 | 0.6774 | 0.8571 | — | — | — | — | |
| OETraining Method=OE, TTA Method=w/o TTA2024.10 | 0.7352 | 0.7506 | 0.6727 | 0.863 | — | — | — | — |