OOD detection on OOD Aggregate Average
83.84AUROCMM++
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MM++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 83.84 | 59.7 | |
| X-MahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 80.08 | 56.98 | |
| Maha++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 79.15 | 56.47 | |
| rMaha++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 79.15 | 56.47 | |
| MahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 78.65 | 58.2 | |
| rMahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 78.44 | 58.62 | |
| MSPBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 73.97 | 66.44 | |
| ReActBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 70.82 | 66.25 | |
| EnergyBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 70.62 | 66.33 | |
| KNNBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 67.98 | 79.04 | |
| ODINBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 67.93 | 74.55 |