Image Classification on CIFAR-10 24 (test) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 24 (test)

92.23Standard AccuracyRebuffi et al.

Evaluation Results

Method	Links
Rebuffi et al.2023.12		92.23	68.56
Gowal et al. [33]2023.12		91.1	66.02
Nie et al.2023.12		91.04	71.84
Gowal et al. [33]2023.12		89.48	62.7
Zhang et al.2023.12		89.36	59.96
Nie et al.2023.12		89.23	71.03
Gowal et al. [34]2023.12		88.74	66.6
Rebuffi et al.2023.12		88.54	64.46
Wu et al.2023.12		88.25	62.11
Rebuffi et al.2023.12		87.5	65.24
Gowal et al. [34]2023.12		87.33	61.72
Wu et al.2023.12		85.36	59.18
Gowal et al. [33]2023.12		85.29	59.57
GDPM2023.12		84.85	71.18