Depth Estimation on NYUD2-DIR (test) benchmark leaderboard · SOTA2 Research

Depth Estimation on NYUD2-DIR (test)

0.895MAEHCA-d

Evaluation Results

Method	Links
HCA-d2023.10		0.895	1.321	0.18	71.5	91.9	97.2
HCA-add2023.10		0.901	1.33	0.181	71.4	91.9	97.2
HCA-mul2023.10		0.902	1.332	0.181	71.4	91.8	97.2
CLS2023.10		0.904	1.335	0.182	71.5	91.6	97.2
HCA-d2023.10		0.911	1.367	0.179	71.4	91.1	96.6
HCA-add2023.10		0.919	1.375	0.18	71	91	96.5
HCA-mul2023.10		0.92	1.377	0.18	71	91	96.5
Balanced MSE2023.10		0.922	1.279	0.219	69.5	87.8	94.7
CLS2023.10		0.924	1.383	0.181	71.1	90.9	96.5
Regression2023.10		0.931	1.389	0.183	69.9	90.5	96.9
Regression2023.10		0.968	1.387	0.188	67.2	90.7	97.6
HCA-add2023.10		0.987	1.47	0.18	68.6	90.9	96.1
HCA-d2023.10		0.987	1.475	0.181	68.9	91.5	96.1
HCA-mul2023.10		0.991	1.478	0.181	68.5	90.9	96
Regression2023.10		1.004	1.486	0.179	67.8	90.8	97.5
CLS2023.10		1.011	1.512	0.184	67.8	90.6	95.8