Out-of-Distribution Detection on CIFAR-10 ID Average OOD
93.67AUROCLaREx
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LaRExBackbone=DenseNet-1002026.03 | 93.67 | 30.15 | |
| Prototype FusionBackbone=DenseNet-1002026.03 | 93.54 | 26.17 | |
| Prototype FusionBackbone=ResNet-182026.03 | 93.44 | 28.1 | |
| ViMBackbone=DenseNet-1002026.03 | 92.97 | 30.21 | |
| ESOODBackbone=DenseNet-1002026.03 | 92.23 | 35 | |
| NNGuideBackbone=ResNet-182026.03 | 92.07 | 28.85 | |
| LaRExBackbone=ResNet-182026.03 | 91.76 | 35.98 | |
| ESOODBackbone=ResNet-182026.03 | 91.38 | 35.51 | |
| ReActBackbone=DenseNet-1002026.03 | 91.38 | 34.71 | |
| EnergyBackbone=DenseNet-1002026.03 | 91.36 | 36.62 | |
| NECOBackbone=DenseNet-1002026.03 | 91.35 | 36.12 | |
| MaxLogitBackbone=DenseNet-1002026.03 | 91.29 | 36.65 | |
| MaxLogitBackbone=ResNet-182026.03 | 91.22 | 37.42 | |
| MSPBackbone=ResNet-182026.03 | 91.18 | 32.73 | |
| ViMBackbone=ResNet-182026.03 | 90.62 | 38.17 | |
| NNGuideBackbone=DenseNet-1002026.03 | 90.49 | 32.6 | |
| MSPBackbone=DenseNet-1002026.03 | 90.12 | 32.39 | |
| EnergyBackbone=ResNet-182026.03 | 89.37 | 47.05 | |
| MahalanobisBackbone=ResNet-182026.03 | 88.12 | 44.3 | |
| MahalanobisBackbone=DenseNet-1002026.03 | 88.09 | 41.7 | |
| NECOBackbone=ResNet-182026.03 | 85.95 | 49.99 | |
| ReActBackbone=ResNet-182026.03 | 85.85 | 64.32 | |
| GradNormBackbone=ResNet-182026.03 | 84.38 | 57.5 | |
| GradNormBackbone=DenseNet-1002026.03 | 77.31 | 64.56 |