Image Classification on CIFAR-10 WRN-28-10 (test) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 WRN-28-10 (test)

89.7Clean AccuracyNo Sel. (Full SSAT)

Evaluation Results

Method	Links
No Sel. (Full SSAT)2025.01		89.7	62.5	58.6	28.5
LCS-KM2025.01		88.7	60.7	57.8	14.78
LCS-KM2025.01		87.2	58.2	55.3	14.78
Random2025.01		87.1	57.5	54.2	14.25
PCS2025.01		87	57.9	54.5	14.73
LCS-GMM2025.01		87	58.2	55.5	14.89
LCS-KM2025.01		86.1	58	55.8	15.27
LCS-GMM2025.01		85.9	57.1	54.2	14.89
LCS-KM2025.01		85.9	56.1	52.5	15.27
LCS-GMM2025.01		85.9	58.6	55.8	15.36
LCS-GMM2025.01		85.8	54.6	51.8	15.36
LCS-GMM2025.01		85.8	57.1	54.5	15.36
No Sel. (Full SSAT)2025.01		85.7	61.8	58.4	57.13
LCS-KM2025.01		85.6	56.4	52.9	14.78
PCS2025.01		85.6	58	55	15.16
LCS-KM2025.01		85.5	60.2	57.2	15.27
PCS2025.01		85.4	56.9	54.1	15.16
Random2025.01		85.4	57.2	54.2	14.25
PCS2025.01		85.3	56.9	53.7	14.73
Random2025.01		85.2	56	52.4	14.25
Random2025.01		85	56.5	52.6	14.25
No Sel. (TRADES)2025.01		84.9	55.4	49.2	10.69
PCS2025.01		84.9	55.4	51.5	14.73
No Sel. (TRADES)2025.01		84.9	55.4	49.2	10.69
PCS2025.01		84.3	55.2	50.7	15.16
LCS-GMM2025.01		84.2	55.1	52.1	14.89
Random2025.01		83.3	54.3	49.6	14.25
Random2025.01		83.2	54.5	49.8	14.25