OOD Detection on Places365 OOD (test)
94.44AUROCGEN*
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GEN*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 94.44 | 22.5 | |
| ReAct*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 94.43 | 22.54 | |
| MSP*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 94.22 | 22.81 | |
| SCALE*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 94.19 | 23.22 | |
| KNN*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 93.96 | 24.07 | |
| fDBD*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.04 | 93.94 | 23.23 | |
| fDBDImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 92.01 | 29.15 | |
| KNNImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 91.77 | 30.38 | |
| d(Attractors)feature_space=latent trajectories2025.05 | 91 | 29.9 | |
| ReActImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 90.35 | 44.2 | |
| GENImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 89.46 | 47.03 | |
| MSPImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 88.92 | 42.47 | |
| SCALEImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.04 | 86.41 | 70.57 | |
| PALMBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 82.62 | 67.8 | |
| PIDBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 82.3 | 65.75 | |
| SSD+Backbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 79.9 | 77.74 | |
| DMPLBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 79.55 | 73.66 | |
| NPOSBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 78.81 | 67.96 | |
| VOSBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 78.63 | 76.85 | |
| kNN+Backbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 77.58 | 80.74 | |
| EnergyBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 76.37 | 81.41 | |
| CSIBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 76.27 | 79.08 | |
| ODINBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 75.19 | 82.16 | |
| MSPBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 74.21 | 84.38 | |
| CIDERBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 73.59 | 79.81 | |
| VimBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.03 | 69.34 | 85.34 | |
| Reconstruction2025.05 | 50.9 | 91.6 | |
| Mahalanobisfeature_space=features2025.05 | 45 | 88 | |
| KNN2025.05 | 32.4 | 100 |