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Depth Estimation on KITTI Eigen split improved ground truth (test)

0.067Abs Rel

DS-Depth

Updated 3d ago

Evaluation Results

Method	Links
DS-Depth 2023.08		0.067	0.359	3.314	0.109	94.6	98.9	99.7
ManyDepth 2023.08		0.07	0.399	3.455	0.113	94.1	98.9	99.7
DORN 2023.08		0.072	0.307	2.727	0.12	93.2	98.4	99.5
Packnet-SFM 2023.08		0.078	0.42	3.485	0.121	93.1	98.6	99.6
Johnston et al. 2023.08		0.081	0.484	3.716	0.126	92.7	98.5	99.6
Wang et al. 2023.08		0.082	0.462	3.739	0.127	92.3	98.4	99.6
Monodepth2 2023.08		0.085	0.537	3.868	0.139	91.2	97.9	99.3
Patil et al. 2023.08		0.087	0.495	3.775	0.133	91.7	98.3	99.5
Kuznietsov et al. 2023.08		0.089	0.478	3.61	0.138	90.6	98	99.5
SuperDepth 2023.08		0.09	0.542	3.967	0.144	90.1	97.6	99.3
Monodepth2 2023.08		0.09	0.545	3.942	0.137	91.4	98.3	99.5
3net (ResNet 50) 2023.08		0.102	0.675	4.293	0.159	88.1	96.9	99.1
Monodepth 2023.08		0.109	0.811	4.568	0.166	87.7	96.7	98.8
3net (VGG) 2023.08		0.119	0.92	4.824	0.182	85.6	95.7	98.5
EPC++ 2023.08		0.12	0.789	4.755	0.177	85.6	96.1	98.7
EPC++ 2023.08		0.123	0.754	4.453	0.172	86.3	96.4	98.9
Ranjan 2023.08		0.123	0.881	4.834	0.181	86	95.9	98.5
DDVO 2023.08		0.126	0.866	4.932	0.185	85.1	95.8	98.6
Zhan FullNYU 2023.08		0.13	1.52	5.184	0.205	85.9	95.5	98.1
GeoNet 2023.08		0.132	0.994	5.24	0.193	83.3	95.3	98.5
Vid2Depth 2023.08		0.134	0.983	5.501	0.203	82.7	94.4	98.1
SfMLearner 2023.08		0.176	1.532	6.129	0.244	75.8	92.1	97.1