OOD Detection on OpenImage-O (test)
98.21AUROCX-Maha†
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| X-Maha†Backbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 98.21 | 9.72 | |
| MM++Backbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 96.43 | 20.98 | |
| Maha++Backbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 95.81 | 24.55 | |
| rMaha++Backbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 95.47 | 25.24 | |
| rMahaBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 94.62 | 29.87 | |
| MahaBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 93.54 | 38.54 | |
| ReActBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 92.76 | 26.74 | |
| MSPBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 89.23 | 44.89 | |
| EnergyBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 89.16 | 33.76 | |
| ODINBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 81.93 | 48.2 | |
| KNNBackbone=ViT-B/16, ID Dataset=ImageNet-LT2026.06 | 50.34 | 95.06 |