Monocular Depth Estimation on KITTI Raw (KR) Eigen 80m (test) benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on KITTI Raw (KR) Eigen 80m (test)

0.072Abs Rel ErrorVNL

Evaluation Results

Method	Links
VNL2021.03		0.072	—	3.258	0.117	93.8	99	99.8
DORN2021.03		0.098	0.582	3.666	0.16	89.9	96.7	98.6
Gurram et al.2021.03		0.1	0.601	4.298	0.174	87.4	96.6	98.9
MonoDEVSNet2021.03		0.104	0.721	4.396	0.185	88	96.2	98.3
MonoDepth22021.03		0.106	0.806	4.63	0.193	87.6	95.8	98
PackNet-SfM2021.03		0.108	0.803	4.642	0.195	87.5	95.8	98
MonoDEVSNet2021.03		0.108	0.775	4.464	0.188	87.5	96.1	98.2
MonoDepth22021.03		0.109	0.873	4.96	0.209	86.4	94.8	97.5
PackNet-SfM2021.03		0.111	0.829	4.788	0.199	86.4	95.4	98
SuperDepth2021.03		0.112	0.875	4.958	0.207	85.2	94.7	97.7
Kuznietsov et al.2021.03		0.113	0.741	4.621	0.189	86.2	96	98.6
Cao et al.2021.03		0.115	—	4.712	0.198	88.7	96.3	98.2
SharinGAN2021.03		0.116	0.939	5.068	0.203	85	94.8	97.8
GASDA2021.03		0.12	1.022	5.162	0.215	84.8	94.4	97.4
Xu et al.2021.03		0.122	0.897	4.677	—	81.8	95.4	98.5
AdaDepth2021.03		0.167	1.257	5.578	0.237	77.1	92.2	97.1
Garg et al.2021.03		0.169	1.512	5.763	0.236	83.6	93.5	96.8
T2Net2021.03		0.174	1.41	6.046	0.253	75.4	91.6	96.6
Eigen et al.2021.03		0.203	1.548	6.307	0.282	70.2	89	89
Liu et al.2021.03		0.217	1.841	6.986	0.289	64.7	88.2	96.1