Monocular Depth Estimation on KITTI Improved annotated depth maps Eigen (test) benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on KITTI Improved annotated depth maps Eigen (test)

0.035Abs RelPLADE-NetS

Evaluation Results

Method	Links
PLADE-NetS2021.03		0.035	0.091	1.748	0.058	98.9	99.8	100
PLADE-NetS2021.03		0.036	0.094	1.791	0.06	98.8	99.8	99.9
PLADE-Net2021.03		0.065	0.253	2.71	0.1	95	99.2	99.8
PLADE-Net2021.03		0.066	0.274	2.881	0.105	94.4	99.2	99.8
PLADE-Net2021.03		0.066	0.272	2.918	0.104	94.5	99.2	99.8
PLADE-Net2021.03		0.066	0.263	2.726	0.102	94.9	99.2	99.8
FAL-net2021.03		0.068	0.276	2.906	0.106	94.4	99.1	99.8
PackNet-SfM2019.05		0.071	0.359	3.153	0.109	94.4	99	99.7
PackNet2021.03		0.071	0.359	3.153	0.109	94.4	99	99.7
FAL-net2021.03		0.071	0.281	2.912	0.108	94.3	99.1	99.8
DORN2019.05		0.072	0.307	2.727	0.12	93.2	98.4	99.5
DORN2021.03		0.072	0.307	2.727	0.12	93.2	98.4	99.5
DepthHints2021.03		0.074	0.364	3.202	0.114	93.6	98.9	99.7
PackNet-SfM2019.05		0.075	0.384	3.293	0.114	93.8	98.4	99.5
PackNet-SfM2019.05		0.078	0.42	3.485	0.121	93.1	98.6	99.6
PackNet (LR)2021.03		0.078	0.42	3.485	0.121	93.1	98.6	99.6
Monodepth22021.03		0.084	0.503	3.646	0.133	92	98.2	99.4
Kuznietsov et al.2019.05		0.089	0.478	3.61	0.138	90.6	98	99.5
Monodepth22019.05		0.09	0.545	3.942	0.137	91.4	98.3	99.5
Monodepth22021.03		0.092	0.536	3.749	0.135	91.6	98.4	99.5
EPC++2019.05		0.12	0.789	4.755	0.177	85.6	96.1	98.7
DDVO2019.05		0.126	0.866	4.932	0.185	85.1	95.8	98.6
GeoNet2019.05		0.132	0.994	5.24	0.193	88.3	95.3	98.5
Vid2Depth2019.05		0.134	0.983	5.501	0.203	82.7	94.4	98.1
SfMLearner2019.05		0.176	1.532	6.129	0.244	75.8	92.1	97.1