OOD Detection on CIFAR-10 In-distribution OpenOOD (test)
99.26Average AUROCAdaNeg
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| AdaNegTraining Requirement=Zero-shot Training-free2024.10 | 99.26 | — | — | — | — | — | — | — | — | 2.79 | |
| NegLabelTraining Requirement=Zero-shot Training-free2024.10 | 98.39 | — | — | — | — | — | — | — | — | 6.6 | |
| PixMix + RotPredTraining Requirement=requiring training (or fine-tuning)2024.10 | 98.18 | — | — | — | — | — | — | — | — | — | |
| OE + MSPTraining Requirement=requiring training (or fine-tuning)2024.10 | 96 | — | — | — | — | — | — | — | — | — | |
| PixMix + KNNTraining Requirement=requiring training (or fine-tuning)2024.10 | 95.94 | — | — | — | — | — | — | — | — | — | |
| MCMTraining Requirement=Zero-shot Training-free2024.10 | 95.54 | — | — | — | — | — | — | — | — | 17.99 | |
| NAC-UEBackbone=ResNet-182023.06 | 94.6 | 15.14 | 94.86 | 14.33 | 96.05 | 17.03 | 95.64 | 26.73 | 91.85 | 18.31 | |
| VIMBackbone=ResNet-182023.06 | 93.48 | 18.36 | 94.76 | 19.29 | 94.5 | 21.14 | 95.15 | 41.43 | 89.49 | 25.05 | |
| KNNBackbone=ResNet-182023.06 | 92.96 | 20.05 | 94.26 | 22.6 | 92.67 | 24.06 | 93.16 | 30.38 | 91.77 | 24.27 | |
| RMDSBackbone=ResNet-182023.06 | 92.2 | 21.49 | 93.22 | 23.46 | 91.84 | 25.25 | 92.23 | 31.2 | 91.51 | 25.35 | |
| GENBackbone=ResNet-182023.06 | 91.35 | 23 | 93.83 | 28.14 | 91.97 | 40.74 | 90.14 | 47.03 | 89.46 | 34.73 | |
| ReActBackbone=ResNet-182023.06 | 90.42 | 33.77 | 92.81 | 50.23 | 89.12 | 51.42 | 89.38 | 44.2 | 90.35 | 44.9 | |
| MDSBackbone=ResNet-182023.06 | 89.72 | 27.3 | 90.1 | 25.96 | 91.18 | 27.94 | 92.69 | 47.67 | 84.9 | 32.22 | |
| OpenMaxBackbone=ResNet-182023.06 | 89.62 | 23.33 | 90.5 | 25.4 | 89.77 | 31.5 | 89.58 | 38.52 | 88.63 | 29.69 | |
| ODINBackbone=ResNet-182023.06 | 87.96 | 23.83 | 95.24 | 68.61 | 84.58 | 67.7 | 86.94 | 70.36 | 85.07 | 57.62 | |
| SHEBackbone=ResNet-182023.06 | 85.32 | 42.22 | 90.43 | 62.74 | 86.38 | 84.6 | 81.57 | 76.36 | 82.89 | 66.48 | |
| ASHBackbone=ResNet-182023.06 | 78.49 | 70 | 83.16 | 83.64 | 73.46 | 84.59 | 77.45 | 77.89 | 79.89 | 79.03 | |
| MDSEnsBackbone=ResNet-182023.06 | 73.9 | 1.3 | 99.17 | 74.34 | 66.56 | 76.07 | 77.4 | 94.16 | 52.47 | 61.47 | |
| GramBackbone=ResNet-182023.06 | 71.73 | 70.3 | 72.64 | 33.91 | 91.52 | 94.64 | 62.34 | 90.49 | 60.44 | 72.34 |