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Depth Estimation on KITTI improved dense ground truth

0.059Abs Rel

BTS

Updated 3d ago

Evaluation Results

Method
BTS 2024.07	0.059	0.245	2.756	0.096	0.956	0.993	0.998
ProDepth 2024.07	0.059	0.308	3.06	0.097	0.959	0.992	0.997
DCPI-Depth 2024.05	0.066	0.326	3.257	0.107	0.949	0.99	0.997
DynamicDepth 2024.07	0.068	0.362	3.454	0.111	0.943	0.991	0.998
ManyDepth 2024.07	0.07	0.399	3.455	0.113	0.941	0.989	0.997
AQUANet 2024.05	0.07	0.285	2.988	0.107	0.948	0.992	0.998
SENSE 2024.05	0.071	0.339	3.175	0.109	0.945	0.99	0.998
Guizilimi et al. 2024.07	0.072	0.34	3.265	0.116	0.934	-	-
DORN 2024.07	0.072	0.307	2.727	0.12	0.932	0.984	0.994
Yin et al. 2024.07	0.072	-	3.258	0.117	0.938	0.99	0.998
MonoDiffusion 2024.05	0.073	0.377	3.451	0.115	0.935	0.988	0.997
DIFFNet+ 2024.05	0.076	0.414	3.492	0.119	0.936	0.988	0.996
Lite-Mono+ 2024.05	0.077	0.413	3.482	0.119	0.933	0.988	0.997
Lite-Mono-8M+ 2024.05	0.077	0.423	3.527	0.119	0.934	0.988	0.997
Packnet-SFM 2024.07	0.078	0.42	3.485	0.121	0.931	0.986	0.996
Monodepth2 2024.05	0.08	0.466	3.681	0.127	0.926	0.985	0.995
Johnston et al. 2024.07	0.081	0.484	3.716	0.126	0.927	0.985	0.996
Wang et al. 2024.07	0.082	0.462	3.739	0.127	0.923	0.984	0.996
Patil et al. 2024.07	0.087	0.495	3.775	0.133	0.917	0.983	0.995
Monodepth2 2024.07	0.09	0.545	3.942	0.137	0.914	0.983	0.995
DCPI-Depth 2024.05	0.09	0.655	4.113	0.167	0.914	0.969	0.985
DaCCN 2024.05	0.094	0.624	4.145	0.169	0.909	0.97	0.985
MonoDiffusion 2024.05	0.095	0.67	4.219	0.171	0.909	0.968	0.984
MonoViT-tiny 2024.05	0.096	0.714	4.292	0.172	0.908	0.968	0.984
DIFFNet 2024.05	0.097	0.722	4.435	0.174	0.907	0.967	0.984
Gan et al. 2024.07	0.098	0.666	3.933	0.173	0.89	0.964	0.985
SENSE 2024.05	0.099	0.617	4.079	0.172	0.902	0.968	0.985
Kuznietsov et al. 2024.07	0.113	0.741	4.621	0.189	0.862	0.96	0.986
Monodepth2 2024.05	0.115	0.882	4.701	0.19	0.879	0.961	0.982