OOD Detection on CIFAR-10 (vs SVHN, Tiny-Imagenet, LSUN_resize, Texture) benchmark leaderboard · SOTA2 Research

OOD Detection on CIFAR-10 (vs SVHN, Tiny-Imagenet, LSUN_resize, Texture)

38.42FPR95 (SVHN)BATS

Evaluation Results

Method	Links
BATS2022.10		38.42	93.53	17.75	96.91	19.85	96.59	43.81	92.32	29.96	94.84
ReAct2022.10		46.87	92.54	22.8	96.1	18.31	96.92	47.39	91.58	33.84	94.29
BATS2022.10		50.6	89.5	25.17	95.66	11.98	97.7	45.3	91.18	33.26	93.51
Energy2022.10		54.03	91.32	15.18	97.28	23.53	96.14	55.3	89.37	37.01	93.53
Energy2022.10		56.05	86.63	17.58	96.99	24.44	95.29	61.74	85.68	40.95	91.15
ReAct2022.10		58.35	86.67	18.85	96.62	16.52	97.04	50.89	89.27	36.15	92.4
MSP2022.10		59.6	91.29	50.01	93.02	52.15	92.73	66.63	88.5	57.1	91.39
ODIN2022.10		59.71	88.52	10.95	98.08	9.24	98.25	52.06	89.16	32.99	93.5
ODIN2022.10		61.13	82.49	12.79	97.61	12.49	97.5	61.13	80.18	36.89	89.45
MSP2022.10		63.24	86.66	39.57	94.6	44.31	93.82	60.71	88.9	51.96	91
GradNorm2022.10		82.45	79.85	19.23	96.77	48.99	90.67	69.4	81.72	55.02	87.25
GradNorm2022.10		88.55	49.14	41.25	90.68	91.02	48.94	90.83	46.28	77.91	58.76