OOD Detection on Near-OOD
63.72FPR@95GEN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GENBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 63.72 | 78.97 | |
| RMDSBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 66.28 | 78.36 | |
| OursBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 68.51 | 76.76 | |
| MDSBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 68.64 | 75.24 | |
| MSPBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 70.69 | 76.72 | |
| KNNBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 71.61 | 71.69 | |
| ReActBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 72.55 | 75.74 | |
| TempScaleBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 72.57 | 76.96 | |
| SHEBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 76.28 | 76.75 | |
| OpenMaxBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 79.2 | 76.61 | |
| GradNormBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 93.72 | 47.72 | |
| ASHBackbone=Swin Transformer, In-Distribution Accuracy=81.60%2026.04 | 94.6 | 46.64 |