Depth Estimation on KITTI improved dense ground truth benchmark leaderboard · SOTA2 Research

Depth Estimation on KITTI improved dense ground truth

0.059Abs RelBTS

Evaluation Results

Method	Links
BTS2024.07		0.059	0.245	2.756	0.096	0.956	0.993	0.998
ProDepth2024.07		0.059	0.308	3.06	0.097	0.959	0.992	0.997
DCPI-Depth2024.05		0.066	0.326	3.257	0.107	0.949	0.99	0.997
DynamicDepth2024.07		0.068	0.362	3.454	0.111	0.943	0.991	0.998
ManyDepth2024.07		0.07	0.399	3.455	0.113	0.941	0.989	0.997
AQUANet2024.05		0.07	0.285	2.988	0.107	0.948	0.992	0.998
SENSE2024.05		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	—	—
DORN2024.07		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
MonoDiffusion2024.05		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-SFM2024.07		0.078	0.42	3.485	0.121	0.931	0.986	0.996
Monodepth22024.05		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
Monodepth22024.07		0.09	0.545	3.942	0.137	0.914	0.983	0.995
DCPI-Depth2024.05		0.09	0.655	4.113	0.167	0.914	0.969	0.985
DaCCN2024.05		0.094	0.624	4.145	0.169	0.909	0.97	0.985
MonoDiffusion2024.05		0.095	0.67	4.219	0.171	0.909	0.968	0.984
MonoViT-tiny2024.05		0.096	0.714	4.292	0.172	0.908	0.968	0.984
DIFFNet2024.05		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
SENSE2024.05		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
Monodepth22024.05		0.115	0.882	4.701	0.19	0.879	0.961	0.982