OOD Detection on CIFAR-10 LT (p=50, SC-OOD) (test)
94.98AUCDODA
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DODATraining=DNE, Test=DODA, Backbone=ResNet342024.10 | 94.98 | 94.33 | 94.52 | 26.61 | |
| DODATraining=COCL, Test=DODA, Backbone=ResNet342024.10 | 94.27 | 93.57 | 93.82 | 28.78 | |
| AdaODDTraining=COCL, Test=AdaODD, Backbone=ResNet342024.10 | 93.9 | 93.19 | 93.46 | 29.31 | |
| AdaODDTraining=DNE, Test=AdaODD, Backbone=ResNet342024.10 | 93.84 | 93.04 | 93.61 | 29.53 | |
| DODATraining=EnergyOE, Test=DODA, Backbone=ResNet342024.10 | 93.81 | 92.68 | 93.27 | 29.65 | |
| AUTOTraining=DNE, Test=AUTO, Backbone=ResNet342024.10 | 93.77 | 92.83 | 93.36 | 29.99 | |
| AUTOTraining=COCL, Test=AUTO, Backbone=ResNet342024.10 | 93.73 | 93.04 | 93.26 | 29.6 | |
| COCLTraining=COCL, Test=w/o TTA, Backbone=ResNet342024.10 | 93.52 | 92.93 | 92.83 | 30.74 | |
| DNETraining=DNE, Test=w/o TTA, Backbone=ResNet342024.10 | 93.28 | 92.64 | 92.95 | 31.18 | |
| AdaODDTraining=EnergyOE, Test=AdaODD, Backbone=ResNet342024.10 | 93.16 | 92.1 | 92.9 | 31.87 | |
| AUTOTraining=EnergyOE, Test=AUTO, Backbone=ResNet342024.10 | 92.98 | 91.93 | 92.6 | 32.03 | |
| EnergyOETraining=EnergyOE, Test=w/o TTA, Backbone=ResNet342024.10 | 92.25 | 91.37 | 92.31 | 32.44 |