Image Classification on CIFAR-10 (test) (Clean Accuracy) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 (test) (Clean Accuracy)

72.04Clean AccuracyEMN

Evaluation Results

Method	Links
EMN2026.04		72.04
VTG2026.04		70.78
NTGA2026.04		69.66
GUE2026.04		67.4
AR2026.04		66.91
NTGA2026.04		66.77
EMN2026.04		65.19
AR2026.04		64.05
VTG2026.04		63.51
AR2026.04		62.38
NTGA2026.04		61.33
SHR2026.04		60.55
GUE2026.04		59.59
EMN2026.04		57.71
REM2026.04		56.23
GUE2026.04		55.29
VTG2026.04		55.15
VTG2026.04		54.92
GUE2026.04		54.11
AR2026.04		53.65
EMN2026.04		53.63
REM2026.04		52.48
NTGA2026.04		52.14
REM2026.04		50.42
SHR2026.04		49.82
SSC2026.04		47.17
SHR2026.04		46.88
SSC2026.04		38.27
SHR2026.04		33.57
SSC2026.04		32.96
REM2026.04		32.75
SSC2026.04		22.68
EMN2026.04		18.47
REM2026.04		17.25
VTG2026.04		16.58
AR2026.04		13.91
GUE2026.04		13.62
SSC2026.04		12.34
SHR2026.04		12.06
NTGA2026.04		11.83