Image Classification on ImageNet 32-100 benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet 32-100

45.45Accuracy (Natural)MT

Evaluation Results

Method	Links
MT2025.03		45.45	1.99	0	0	0	0
Standard2025.03		37.53	0.29	0	0	0	0
WSCAT2025.03		34.64	12.63	9.89	8.01	7.27	10.59
RST2025.03		28.64	6.97	5.28	4.25	3.68	5.71
PUAT2025.03		25.63	8.14	6.3	6.06	5.31	7.42
RLFAT2025.03		18.37	2.64	1.96	1.53	1.35	2.14
WSCAT-sup2025.03		15.75	3.06	2.53	1.94	1.69	2.64
TRADES2025.03		10.08	2.58	2.45	1.67	1.4	2.26