Out Of Distribution Detection On Imagenet 1K 9
評価指標
AUROC
FPR95
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | AUROC | FPR95 |
|---|---|---|
| on-the-effectiveness-of-sparsification-for | 87.48 | 46.49 |
| scaling-for-training-time-and-post-hoc-out-of | 92.26 | 34.51 |
| line-out-of-distribution-detection-by | 92.85 | 28.52 |
| rankfeat-rank-1-feature-removal-for-out-of | 90.93 | 39.34 |
| decoupling-maxlogit-for-out-of-distribution | - | 61.43 |
| on-the-importance-of-gradients-for-detecting | - | 60.86 |
| out-of-distribution-detection-based-on-in | - | 45.35 |
| extremely-simple-activation-shaping-for-out | 90.98 | 39.78 |
| delving-into-out-of-distribution-detection | 92.00 | 35.42 |
| out-of-distribution-detection-with-deep | 74.87 | 77.09 |
| unleashing-mask-explore-the-intrinsic-out-of | 86.99 | 50.06 |
| rethinking-out-of-distribution-ood-detection | 88.5 | - |
| boosting-out-of-distribution-detection-with | 91.83 | 34.34 |
| react-out-of-distribution-detection-with-1 | 86.64 | 51.56 |
| delving-into-out-of-distribution-detection | 89.77 | 44.69 |
| watermarking-for-out-of-distribution | 79.85 | 71.85 |
| watermarking-for-out-of-distribution | 82.03 | 70.59 |
| detecting-out-of-distribution-data-through-in | - | 83.29 |
| out-of-distribution-detection-with-deep | 84.62 | 60.02 |
| out-of-distribution-detection-with-implicit | 83.05 | 67.84 |
| mos-towards-scaling-out-of-distribution | 89.06 | 49.54 |
| nearest-neighbor-guidance-for-out-of-1 | 91.87 | 31.47 |
| on-the-effectiveness-of-sparsification-for | 90.67 | 36.86 |
| non-parametric-outlier-synthesis | 89.44 | 45.27 |