Depth Estimation on KITTI improved ground truth 2015 (93% Eigen split) benchmark leaderboard · SOTA2 Research

Depth Estimation on KITTI improved ground truth 2015 (93% Eigen split)

0.055Abs RelManyDepth

Evaluation Results

Method	Links
ManyDepth2021.04		0.055	0.305	2.945	0.094	96.3	99.2	99.7
ManyDepth2021.04		0.056	0.322	3.034	0.096	96.1	99.2	99.7
ManyDepth2021.04		0.058	0.334	3.137	0.101	95.8	99.1	99.7
ManyDepth2021.04		0.062	0.343	3.139	0.102	95.3	99.1	99.7
ManyDepth2021.04		0.064	0.345	3.116	0.103	94.9	98.9	99.7
ManyDepth2021.04		0.07	0.399	3.455	0.113	94.1	98.9	99.7
Packnet-SFM2021.04		0.078	0.42	3.485	0.121	93.1	98.6	99.6
Monodepth22018.06		0.08	0.466	3.681	0.127	92.6	98.5	99.5
Johnston et al.2021.04		0.081	0.484	3.716	0.126	92.7	98.5	99.6
Wang et al.2021.04		0.082	0.462	3.739	0.127	92.3	98.4	99.6
Monodepth22018.06		0.085	0.537	3.868	0.139	91.2	97.9	99.3
Patil et al.2021.04		0.087	0.495	3.775	0.133	91.7	98.3	99.5
Monodepth22018.06		0.09	0.545	3.942	0.137	91.4	98.3	99.5
SuperDepth2018.06		0.09	0.542	3.967	0.144	90.1	97.6	99.3
Monodepth22021.04		0.09	0.545	3.942	0.137	91.4	98.3	99.5
Monodepth22021.04		0.091	0.531	3.742	0.135	91.6	98.4	99.5
3net2018.06		0.102	0.675	4.293	0.159	88.1	96.9	99.1
Monodepth22018.06		0.107	0.72	4.345	0.161	89	97.1	98.9
Monodepth2018.06		0.109	0.811	4.568	0.166	87.7	96.7	98.8
Monodepth22018.06		0.11	0.849	4.58	0.173	87.5	96.2	98.6
Monodepth22018.06		0.112	0.715	4.502	0.167	87.6	96.7	99
3net2018.06		0.119	0.92	4.824	0.182	85.6	95.7	98.5
EPC++2018.06		0.12	0.789	4.755	0.177	85.6	96.1	98.7
EPC++2021.04		0.12	0.789	4.755	0.177	85.6	96.1	98.7
Ranjan2018.06		0.123	0.881	4.834	0.181	86	95.9	98.5
EPC++2018.06		0.123	0.754	4.453	0.172	86.3	96.4	98.9
Ranjan2021.04		0.123	0.881	4.834	0.181	86	95.9	98.5
DDVO2018.06		0.126	0.866	4.932	0.185	85.1	95.8	98.6
Zhan FullNYU2018.06		0.13	1.52	5.184	0.205	85.9	95.5	98.1
GeoNet2018.06		0.132	0.994	5.24	0.193	83.3	95.3	98.5
Mahjourian2018.06		0.134	0.983	5.501	0.203	82.7	94.4	98.1
Zhou2018.06		0.176	1.532	6.129	0.244	75.8	92.1	97.1