Image Classification on ImageNet (Accuracy and Calibration Metrics) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet (Accuracy and Calibration Metrics)

0.817AccuracyDeep Ensembles

Evaluation Results

Method	Links
Deep Ensembles2023.12		0.817	0.135	0.217	0.855	0.603
Laplace2023.12		0.81	0.108	0.221	0.831	0.706
ABNN2023.12		0.806	0.0432	0.217	0.854	0.551
Laplace2023.12		0.804	0.443	0.139	0.759	0.828
Single Model2023.12		0.8	0.052	0.195	0.841	0.585
ABNN2023.12		0.795	0.0965	0.178	0.82	0.652
Deep Ensembles2023.12		0.792	0.233	0.196	0.834	0.621
Single Model2023.12		0.778	0.121	0.18	0.809	0.686
MIMO (P = 1)2023.12		0.776	0.147	0.184	0.816	0.668
BatchEnsemble2023.12		0.759	0.035	0.202	0.816	0.665