Object Classification on CIFAR10 (test) benchmark leaderboard · SOTA2 Research

Object Classification on CIFAR10 (test)

89.79AccuracyClean Model

Evaluation Results

Method	Links
Clean Model2025.12		89.79	9.48
MEAD2025.12		88.89	100
Abstract2025.12		88.53	100
Content2025.12		88.22	99.96
ComMark2025.12		88.12	100
MAB2025.12		87.84	100
Noise2025.12		87.73	99.92
BlindMark2025.12		87.7	99.8