Out-of-Distribution Detection on ImageNet (ID) vs SSB-hard OOD (test)
37.51FPR@95%TPRDynProto
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DynProtoExternal Text=false, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 37.51 | 86.78 | |
| DynProtoExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 49.5 | 86.25 | |
| FAExternal Text=false, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 70.83 | 78.21 | |
| AdaNegExternal Text=true, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 74.91 | 75.11 | |
| LINeExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 75.78 | 77.14 | |
| MahaVarBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 75.87 | 73.02 | |
| Mahalanobis++Backbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 78.45 | 71.5 | |
| CADRefExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 78.79 | 74.58 | |
| NegRefineExternal Text=true, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 78.79 | 74.59 | |
| CSPExternal Text=true, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 78.88 | 73.61 | |
| ReActExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 79.07 | 72.81 | |
| OODDExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 80.35 | 65.9 | |
| AdaNDExternal Text=false, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 81.22 | 66.64 | |
| KL-matchingBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 82.16 | 69.38 | |
| ASH-SExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 82.53 | 70.49 | |
| MSPBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 83.15 | 70.83 | |
| GENBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 83.48 | 72.02 | |
| MaxLogitBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 83.6 | 67.47 | |
| EnergyExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 83.87 | 72.35 | |
| ViMBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 83.92 | 69.63 | |
| NNGuideBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 84.11 | 71.67 | |
| MSPExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 84.54 | 72.16 | |
| ReActBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 84.56 | 68.29 | |
| NCI+filterBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 84.96 | 69.56 | |
| MahalanobisBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 85.03 | 64.46 | |
| LoCoOpExternal Text=false, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 85.61 | 68.22 | |
| NegLabelExternal Text=true, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 85.68 | 69.39 | |
| OptFSExternal Text=false, Method Category=Vision Model based Methods, Backbone=ResNet-502026.04 | 85.77 | 69.73 | |
| SynOODExternal Text=true, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 85.94 | 69.58 | |
| EnergyBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 85.99 | 63.59 | |
| fDBDBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 86.32 | 68.64 | |
| SCALEBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 86.53 | 63.33 | |
| NCIBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 86.91 | 67.75 | |
| KNNBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 88.71 | 66.29 | |
| MCMExternal Text=false, Method Category=Vision Language Model based Methods, Backbone=CLIP-B/162026.04 | 89.9 | 62.95 | |
| ASH-SBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.05 | 92.34 | 48.18 |