HyperAI

Out Of Distribution Detection On Imagenet 1K 12

Metriken

AUROC
FPR95

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle
ModellnameAUROCFPR95
mos-towards-scaling-out-of-distribution90.1139.97
extremely-simple-activation-shaping-for-out95.1222.8
non-parametric-outlier-synthesis91.2237.93
line-out-of-distribution-detection-by95.0320.70
nearest-neighbor-guidance-for-out-of-195.4217.97
detecting-out-of-distribution-data-through-in-70.12
out-of-distribution-detection-with-implicit83.5459.83
decoupling-maxlogit-for-out-of-distribution-54.74
scaling-for-training-time-and-post-hoc-out-of95.7120.05
rankfeat-rank-1-feature-removal-for-out-of92.1536.8
rethinking-out-of-distribution-ood-detection89.1-
unleashing-mask-explore-the-intrinsic-out-of89.2440.94
nearest-neighbor-guidance-for-out-of-195.4519.72
on-the-effectiveness-of-sparsification-for93.427.25
boosting-out-of-distribution-detection-with94.2827.11
delving-into-out-of-distribution-detection91.4938.17