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Monocular Depth Estimation on KITTI Improved Ground Truth 40

0.068Abs Rel Error

DynamicDepth

Updated 4d ago

Evaluation Results

Method	Links
DynamicDepth 2022.03		0.068	0.362	3.454	0.111	94.3	99.1	99.8
ManyDepth 2022.03		0.07	0.399	3.455	0.113	94.1	98.9	99.7
DORN 2022.03		0.072	0.307	2.727	0.12	93.2	98.4	99.5
Packnet-SFM 2022.03		0.078	0.42	3.485	0.121	93.1	98.6	99.6
Johnston et al. 2022.03		0.081	0.484	3.716	0.126	92.7	98.5	99.6
Wang et al. 2022.03		0.082	0.462	3.739	0.127	92.3	98.4	99.6
Monodepth2 2022.03		0.085	0.537	3.868	0.139	91.2	97.9	99.3
Patil et al. 2022.03		0.087	0.495	3.775	0.133	91.7	98.3	99.5
Kuznietsov et al. 2022.03		0.089	0.478	3.61	0.138	90.6	98	99.5
SuperDepth 2022.03		0.09	0.542	3.967	0.144	90.1	97.6	99.3
Monodepth2 2022.03		0.09	0.545	3.942	0.137	91.4	98.3	99.5
3net 2022.03		0.102	0.675	4.293	0.159	88.1	96.9	99.1
Monodepth 2022.03		0.109	0.841	4.568	0.166	87.7	96.7	98.8
3net 2022.03		0.119	0.92	4.824	0.182	85.6	95.7	98.5
EPC++ 2022.03		0.12	0.789	4.755	0.177	85.6	96.1	98.7
EPC++ 2022.03		0.123	0.754	4.453	0.172	86.3	96.4	98.9
Ranjan 2022.03		0.123	0.881	4.834	0.181	86	95.9	98.5
DDVO 2022.03		0.126	0.866	4.932	0.185	85.1	95.8	98.6
Zhan FullNYU 2022.03		0.13	1.52	5.184	0.205	82.9	95.5	98.1
GeoNet 2022.03		0.132	0.994	5.24	0.193	83.3	95.3	98.5
Vid2Depth 2022.03		0.134	0.983	5.501	0.203	82.7	94.4	98.1
SfMLearner 2022.03		0.176	1.532	6.129	0.244	75.8	92.1	97.1