Out Of Distribution Detection On Imagenet 1K 10

Metriken

AUROC

FPR95

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	AUROC	FPR95
on-the-effectiveness-of-sparsification-for	92.74	28.07
on-the-importance-of-gradients-for-detecting	-	61.42
line-out-of-distribution-detection-by	94.44	22.54
watermarking-for-out-of-distribution	84.00	61.2
watermarking-for-out-of-distribution	80.80	67.75
mos-towards-scaling-out-of-distribution	81.23	60.43
vim-out-of-distribution-with-virtual-logit	95.34	20.31
unleashing-mask-explore-the-intrinsic-out-of	88.35	42.02
out-of-distribution-detection-with-implicit	88.9	34.67
gen-pushing-the-limits-of-softmax-based-out	-	77.93
vim-out-of-distribution-with-virtual-logit	-	4.69
neuron-activation-coverage-rethinking-out-of	97.9	-
boosting-out-of-distribution-detection-with	92.27	38.9
ssd-a-unified-framework-for-self-supervised-1	85.4	57.2
out-of-distribution-detection-with-deep	94.45	16.97
nearest-neighbor-guidance-for-out-of-1	95.82	17.00
rethinking-out-of-distribution-ood-detection	91.3	-
detecting-out-of-distribution-data-through-in	-	79.80
out-of-distribution-detection-with-deep	97.18	11.56
out-of-distribution-detection-based-on-in	-	45.09
forte-finding-outliers-with-representation	98.04 ± 00.10	5.61 ± 00.25
extremely-simple-activation-shaping-for-out	97.6	11.93
on-the-effectiveness-of-sparsification-for	90.3	31.72
decoupling-maxlogit-for-out-of-distribution	-	52.80
delving-into-out-of-distribution-detection	86.11	57.77
discopatch-batch-statistics-are-all-you-need	96.4	18.9
react-out-of-distribution-detection-with-1	91.53	38.42
nearest-neighbor-guidance-for-out-of-1	96.11	17.27
rankfeat-rank-1-feature-removal-for-out-of	91.7	37.29
scaling-for-training-time-and-post-hoc-out-of	97.37	12.93
vim-out-of-distribution-with-virtual-logit	98.92	-
non-parametric-outlier-synthesis	88.80	46.12
delving-into-out-of-distribution-detection	84.88	59.88