Out-of-Distribution Detection on CIFAR-100 (Near/Far OOD Evaluation)
54.8Near-OOD FPR95MSP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MSPTraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 54.8 | 80.27 | 58.7 | 77.76 | 77.25 | |
| SPCPTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 55.21 | 81.25 | 50.59 | 82.17 | 77.7 | |
| EnergyTraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 55.62 | 80.91 | 56.59 | 79.77 | 77.25 | |
| SCALETraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 55.68 | 80.99 | 54.09 | 81.42 | 77.25 | |
| ReActTraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 56.39 | 80.77 | 54.2 | 80.39 | 77.25 | |
| DICETraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 57.95 | 79.38 | 56.25 | 80.01 | 77.25 | |
| T2FNormTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 58.47 | 79.84 | 51.25 | 82.73 | 76.43 | |
| UMAPTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 59.71 | 79.49 | 52.11 | 81.62 | 77.25 | |
| SNNTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 60.32 | 80.33 | 53.52 | 82.17 | 77.56 | |
| LogitNormTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 62.89 | 78.47 | 53.61 | 81.53 | 76.34 | |
| ASHTraining setup=Post-hoc (vanilla training with cross-entropy), Backbone=ResNet-18, Batch size=1282026.03 | 65.71 | 78.2 | 59.2 | 80.58 | 77.25 | |
| CIDERTraining setup=Training-time regularization methods, Backbone=ResNet-18, Batch size=1282026.03 | 72.02 | 73.1 | 54.22 | 80.49 | — |