OOD Detection on ImageNet V2
65.68AUROCMM++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MM++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 65.68 | 85.62 | |
| MM++Backbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 60.67 | 89.61 | |
| ReActBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 60.4 | 89.88 | |
| MSPBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 59.86 | 90.11 | |
| EnergyBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 59.77 | 90.18 | |
| rMaha++Backbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 59.33 | 89.95 | |
| Maha++Backbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 59.13 | 89.92 | |
| rMahaBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 58.56 | 90.49 | |
| rMahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 58.44 | 89.27 | |
| rMaha++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 58.36 | 89.24 | |
| Maha++Backbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 58.35 | 89.24 | |
| MahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 58.16 | 89.27 | |
| X-MahaBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 58.12 | 90.09 | |
| MahaBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 57.86 | 91.3 | |
| MSPBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 57.82 | 89.82 | |
| ODINBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 56.7 | 92.02 | |
| ReActBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 55.94 | 90.37 | |
| EnergyBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 55.87 | 90.43 | |
| ODINBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 55.47 | 91.79 | |
| KNNBackbone=EVA02-S14, ID Dataset=ImageNet-LT2026.06 | 53.92 | 92.32 | |
| KNNBackbone=Swin-T, In-Distribution (ID) Dataset=ImageNet-LT2026.06 | 50.56 | 93.93 |