Image Classification on CIFAR100 (test) (Provable Accuracy Metrics) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR100 (test) (Provable Accuracy Metrics)

0.483Natural AccuracySOC

Evaluation Results

Method	Links
SOC2023.03		0.483	0.344	0.227	0.142	—
SOC+2023.03		0.478	0.348	0.237	0.158	—
CPL2023.03		0.478	0.334	0.209	0.126	—
SLL2023.03		0.465	0.365	0.29	0.233	0.104
SLL2023.03		0.464	0.362	0.284	0.227	0.096
SLL2023.03		0.46	0.355	0.279	0.222	0.091
SLL2023.03		0.449	0.347	0.268	0.209	0.081
AOL2023.03		0.437	0.337	0.263	0.207	0.078
Cayley2023.03		0.433	0.292	0.188	0.11	—