Image Classification on ImageNet-C (Per-Corruption Error Rates) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet-C (Per-Corruption Error Rates)

26.36Gaussian Blur Error RateVTE

Evaluation Results

Method	Links
VTE2026.01		26.36	29.2	28.98	36.38	24.88	40.92	39.36	50.52	44.92	50.86	67.42	33.8	30.56	55.58	47.76	40.5
TPT2026.01		27.08	30	29.54	35.84	25.78	41.5	37.98	51.64	45.72	51.78	67.78	36.34	31.64	55.56	46.16	40.96
ZERO2026.01		27.12	28.7	28.72	35.54	25.66	40.5	38.16	50.56	43.84	50.32	66.04	35.24	30.74	55.08	44.98	40.08
Source2026.01		27.4	29.42	28.72	34.58	25.28	40.96	36.7	49.8	44.1	49.78	65.36	35.18	30.42	53.48	42.24	39.56
MEMO2026.01		27.42	29.46	28.74	34.66	25.34	41	36.74	49.78	44.16	49.8	65.42	35.16	30.4	53.56	42.24	39.59
DMN2026.01		27.44	30.16	30.84	32.72	25.98	41.26	37	49.54	44.56	50.02	66	29.5	31.1	54.9	42.18	39.55
TDA2026.01		27.52	30.72	32.3	35.2	27.04	42.6	38.2	51.4	46.36	52.08	66.76	37.7	31.76	55.22	44	41.26
RoTTA2026.01		27.62	29.6	29.02	34.68	25.5	41.18	36.82	50.04	44.2	49.76	65.4	35.08	30.82	53.64	42.36	39.71
ECALP2026.01		29.48	30.34	30.86	35.6	27.5	42.82	38.38	50.48	45.42	50.52	65.4	37.44	30.12	55.16	42.8	40.82
WATT2026.01		29.82	31.42	30.7	36.68	28.92	42.3	38.48	51.1	44.46	50.7	65.6	39.18	33.54	54.16	43.3	41.36
BATCLIP2026.01		31.44	31.4	30.94	35.84	31.68	43.72	39.26	50.16	43.02	51.12	65.5	40.14	35.38	53.68	48.92	42.15
MINT2026.01		32	33.2	33.84	37.22	33.38	43.68	39.28	53.62	45.62	53.42	66.34	39.16	37.32	55.46	49.22	43.52
SubTTA2026.01		32.96	35.28	36.48	35.7	34.86	44.02	41.34	53.22	47.12	55.7	65.74	46.3	35.88	55.82	47.84	44.55