Image Classification on CIFAR-100 (Clean Evaluation) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-100 (Clean Evaluation)

72.67AccuracyPLM

Evaluation Results

Method	Links
PLM2024.05		72.67	0.32
VolMinNet2024.05		71.65	0.62
Dual-T2024.05		71.08	0.27
Decoupling2024.05		69.71	0.34
PLM2024.05		69.54	0.23
VolMinNet2024.05		67.7	0.99
Decoupling2024.05		66.65	0.27
Dual-T2024.05		65.61	0.39
PLM2024.05		61.9	1.82
VolMinNet2024.05		61.21	2.98
T-Revision2024.05		61.14	0.69
T-Revision2024.05		60.56	0.66
PLM2024.05		60.44	0.28
Forward2024.05		60.12	0.33
Forward2024.05		58.7	0.73
VolMinNet2024.05		57.99	0.4
Class2Simi2024.05		53.39	0.95
Dual-T2024.05		52.25	3.28
DMI2024.05		51.89	2.24
Dual-T2024.05		50.07	1.56
Class2Simi2024.05		49.78	1.05
T-Revision2024.05		49.44	1.64
Decoupling2024.05		48.3	0.68
Co-teaching2024.05		45.78	1.02
Co-teaching2024.05		44.89	0.63
Decoupling2024.05		43.82	1.75
DMI2024.05		43.63	0.86
T-Revision2024.05		40.01	0.9
Forward2024.05		39.82	2.15
Forward2024.05		37.99	0.37
Class2Simi2024.05		36.04	2.31
DMI2024.05		32.22	3.42
Co-teaching2024.05		32.19	0.9
DMI2024.05		32.02	1.36
Class2Simi2024.05		32.02	1.33
Co-teaching2024.05		28.98	0.42