Out-of-Distribution Detection on CIFAR-10 (FPR95/AUROC vs EMNIST, MNIST, SVHN, iSUN, LSUN, Texture)
0.02FPR95 (EMNIST)DICE
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DICEBackbone=WideResNet-28-102026.02 | 0.02 | 99.9 | 0.01 | 99.9 | 47.3 | 86 | 60.1 | 81.1 | 22.8 | 95.1 | 0.5 | 99.7 | 29.3 | 93.7 | 22.9 | 93.6 | |
| EnergyBackbone=WideResNet-28-102026.02 | 1 | 99.6 | 0.1 | 99.8 | 46.1 | 88.2 | 59 | 84.2 | 23.6 | 95.3 | 2.9 | 99.3 | 30.6 | 93.8 | 23.3 | 94.3 | |
| ReActBackbone=WideResNet-28-102026.02 | 1.2 | 99.6 | 0.2 | 99.8 | 46.5 | 88.4 | 57.4 | 86.2 | 24.4 | 95 | 3.2 | 99.2 | 31.6 | 93.5 | 23.5 | 94.5 | |
| MaxLogitBackbone=WideResNet-28-102026.02 | 1.3 | 99.5 | 0.2 | 99.8 | 45.2 | 88.3 | 57.9 | 84.4 | 24.2 | 95.2 | 3.3 | 99.2 | 31 | 93.7 | 23.3 | 94.3 | |
| D-KNNBackbone=WideResNet-28-102026.02 | 2.5 | 99.4 | 2.1 | 99.5 | 17.2 | 96.7 | 28.8 | 94.5 | 26.2 | 94.9 | 15.7 | 97.2 | 30 | 93.9 | 17.5 | 96.6 | |
| LineBackbone=WideResNet-28-102026.02 | 4.7 | 98.6 | 1.2 | 99.7 | 73.5 | 72.4 | 75.4 | 69.8 | 61.2 | 81.3 | 11 | 96.9 | 69.3 | 78.1 | 42.3 | 85.5 | |
| FDBDBackbone=WideResNet-28-102026.02 | 6.6 | 99 | 2.4 | 99.5 | 38.4 | 92.5 | 48.5 | 89 | 32.8 | 93.4 | 13 | 97.7 | 38.9 | 91.4 | 25.8 | 94.6 | |
| MSPBackbone=WideResNet-28-102026.02 | 17.2 | 97.7 | 10.8 | 98.5 | 55.1 | 90 | 63.7 | 87.2 | 48.3 | 92.7 | 22.9 | 97 | 54 | 91 | 38.9 | 93.4 | |
| ViMBackbone=WideResNet-28-102026.02 | 25.4 | 95.2 | 18.5 | 96.9 | 15.6 | 96.6 | 20.1 | 96.5 | 16.5 | 97.2 | 14.2 | 97.3 | 18.2 | 96.2 | 18.4 | 96.5 | |
| KNNBackbone=WideResNet-28-102026.02 | 30.9 | 95.3 | 24.2 | 96.3 | 31.3 | 94.9 | 40.6 | 92.3 | 27.5 | 95 | 26.8 | 95.3 | 31 | 93.9 | 30.3 | 94.7 | |
| MahalanobisBackbone=WideResNet-28-102026.02 | 42.2 | 94.7 | 26.2 | 96.1 | 16.8 | 96.9 | 20.6 | 96 | 59 | 89.9 | 55.8 | 90.8 | 58.2 | 89.4 | 39.8 | 93.4 |