Image Classification Calibration on ImageNet 16H 1.0 (test) benchmark leaderboard · SOTA2 Research

Image Classification Calibration on ImageNet 16H 1.0 (test)

0.0197ECEP+L

Evaluation Results

Method	Links
P+L2021.09		0.0197	0.0057	0.25
P+L2021.09		0.0251	0.0074	0.33
P+L2021.09		0.03	0.0103	0.47
P+L2021.09		0.0304	0.0078	0.37
P+L2021.09		0.0307	0.0057	0.28
P+L2021.09		0.0317	0.0056	0.27
P+L2021.09		0.0337	0.0159	0.74
P+L2021.09		0.0391	0.0059	0.37
P+L2021.09		0.0401	0.0054	0.34
P+L2021.09		0.041	0.0067	0.34
P+L2021.09		0.0419	0.0103	0.56
P+L2021.09		0.0432	0.0075	0.36
GoogLeNet2021.09		0.0452	0.013	0.5
P+L2021.09		0.046	0.0063	0.29
P+L2021.09		0.0517	0.0068	0.49
GoogLeNet2021.09		0.0534	0.0166	0.66
GoogLeNet2021.09		0.0534	0.0165	0.66
P+L2021.09		0.0568	0.0087	0.43
GoogLeNet2021.09		0.0576	0.0147	0.56
GoogLeNet2021.09		0.0591	0.013	0.5
P+L2021.09		0.0598	0.0112	0.53
GoogLeNet2021.09		0.0654	0.0219	0.85
P+L2021.09		0.0666	0.0168	0.89
GoogLeNet2021.09		0.0678	0.0219	0.85
VGG-192021.09		0.0715	0.0101	0.52
VGG-192021.09		0.073	0.0101	0.53
GoogLeNet2021.09		0.0739	0.0133	0.59
GoogLeNet2021.09		0.076	0.0146	0.56
P+L2021.09		0.076	0.0123	0.6
P+L2021.09		0.0798	0.0186	0.79
VGG-192021.09		0.0854	0.011	0.71
GoogLeNet2021.09		0.0904	0.017	0.75
GoogLeNet2021.09		0.0923	0.0147	0.65
P+L2021.09		0.1095	0.0192	0.88
GoogLeNet2021.09		0.1198	0.0231	0.97