Image Classification on CIFAR-100 Long-Tailed (test) (Adversarial Robustness) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-100 Long-Tailed (test) (Adversarial Robustness)

55.55Clean AccuracyAT-BSL-AuA

Evaluation Results

Method	Links
AT-BSL-AuA2024.03		55.55	26.74	22.18	21.88	24.28	19.68
AT-BSL-AuA2024.03		53.08	28.55	25.4	23.39	24.48	21.43
REAT2024.03		50.29	23.99	20.82	20.25	21.93	18.65
RoBal2024.03		50.08	23.04	18.84	19.3	21.87	17.9
AT-BSL2024.03		50.04	23.37	19.66	19.6	21.66	18.04
REAT2024.03		49.22	20.89	16.57	17.08	20.89	15.49
AT-BSL2024.03		48.56	20.88	16.83	17.09	20.13	15.76
AWP2024.03		48.18	24.75	21.81	20.3	21.19	18.67
LAS-AT2024.03		46.54	22.84	19.65	18.18	18.38	17.01
RoBal2024.03		46.34	19.99	15.17	15.87	20.06	14.77
LAS-AT2024.03		45.86	23.3	20.02	18.67	18.79	17.35
AWP2024.03		45.66	25.89	23.88	21.87	22.1	20.56
AT2024.03		45.18	19.25	16.36	16.43	19	15.6
GAIRAT2024.03		45.11	19.49	16.31	15.85	16.71	14.75
AT2024.03		44.86	19.01	15.65	15.89	19.12	15.08
MART2024.03		43.67	22.84	19.88	18.8	19.45	17.77
TRADES2024.03		43.22	20.28	17.46	17.34	17.56	16.69
TRADES2024.03		41.71	21.91	19.85	18.46	18.39	17.91
MART2024.03		41.32	25.01	23.27	20.89	20.77	19.98
GAIRAT2024.03		36.41	18.87	17.31	16.07	16.13	14.77