Image Classification on ImageNet and OOD variants benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet and OOD variants

69.72Accuracy (ImageNet)USE

Evaluation Results

Method	Links
USE2026.07		69.72	59.79	64.6	77.89	48.91	64.18	62.8
TTL2026.07		69.32	58.84	64.28	77.66	48.73	63.77	62.38
ZERO2026.07		69.31	59.79	64.2	77.28	48.41	63.8	62.42
R-TPT2026.07		69.31	57.61	63.98	76.9	47.7	63.1	61.55
MTA2026.07		69.26	57.1	63.63	76.96	48.45	63.08	61.54
SE2026.07		69.15	59.15	64.1	77.34	48.53	63.65	62.28
TPT2026.07		68.92	54.59	63.45	77.06	47.84	62.37	60.74
TPS2026.07		68.82	57.93	63.45	76.95	48.06	63.04	61.6
STS2026.07		68.77	61.37	64.2	77.02	48.09	63.89	62.67
RLCF2026.07		68.55	57.48	63.42	77.1	48.07	62.92	61.52
C-TPT2026.07		68.45	51.15	62.66	75.78	47.42	61.09	59.25
CLIP2026.07		66.72	47.83	60.94	73.99	46.1	59.12	57.22
USE2026.07		61.12	30.71	55.16	59.23	35.84	48.41	45.24
R-TPT2026.07		60.76	28.11	54.64	57.7	34.05	47.05	43.63
TPT2026.07		60.63	26.51	54.64	59.03	35.14	47.19	43.83
C-TPT2026.07		60.47	24.27	54.21	57.73	34.72	46.28	42.73
MTA2026.07		60.43	27.63	54.43	58.49	35.31	47.26	43.97
SE2026.07		60.39	30.19	54.3	58.64	35.48	47.8	44.65
ZERO2026.07		60.29	30	54.59	57.8	34.77	47.49	44.29
RLCF2026.07		60.14	28.56	54.22	58.56	35.13	47.32	44.12
TPS2026.07		59.93	28.32	53.91	58.32	34.95	47.09	43.88
STS2026.07		59.69	32.15	53.88	57.51	34.69	47.58	44.56
CLIP2026.07		58.17	21.87	51.45	56.12	33.35	44.19	40.7