Depth Prediction on KITTI improved ground truth 2015 (test) benchmark leaderboard · SOTA2 Research

Depth Prediction on KITTI improved ground truth 2015 (test)

0.07Abs RelCADepth-Net

Evaluation Results

Method	Links
CADepth-Net2021.12		0.07	0.346	3.168	0.109	94.5	99.1	99.7
CADepth-Net2021.12		0.076	0.374	3.28	0.115	93.7	99	99.7
CADepth-Net2021.12		0.076	0.417	3.488	0.12	93.3	98.7	99.6
CADepth-Net2021.12		0.08	0.442	3.639	0.124	92.7	98.6	99.6
Monodepth22021.12		0.08	0.466	3.681	0.127	92.6	98.5	99.5
Johnston et al.2021.12		0.081	0.484	3.716	0.126	92.7	98.5	99.6
Monodepth22021.12		0.09	0.545	3.942	0.137	91.4	98.3	99.5
EPC++2021.12		0.12	0.789	4.755	0.177	85.6	96.1	98.7
CC2021.12		0.123	0.881	4.834	0.181	86	95.9	98.5
EPC++2021.12		0.123	0.754	4.453	0.172	86.3	96.4	98.9
DDVO2021.12		0.126	0.866	4.932	0.185	85.1	95.8	98.6
Zhan FullNYU2021.12		0.13	1.52	5.184	0.205	85.9	95.5	98.1
GeoNet2021.12		0.132	0.994	5.24	0.193	83.3	95.3	98.5
Vid2Depth2021.12		0.134	0.983	5.501	0.203	82.7	94.4	98.1
SfMLearner2021.12		0.176	1.532	6.129	0.244	75.8	92.1	97.1