Monocular Depth Estimation on ScanNet monocular variant 20 60-frame sequences benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on ScanNet monocular variant 20 60-frame sequences

0.011OPWPoint-Based Fusion (Ours-DPT)

Evaluation Results

Method	Links
Point-Based Fusion (Ours-DPT)2023.04		0.011	0.01	0.863	0.179	0.639	0.052	0.21	0.576	0.974	0.996	0.999
TCMD2023.04		0.031	0.031	0.628	0.166	0.548	0.083	0.3	0.811	0.74	0.927	0.981
DPT2023.04		0.033	0.033	0.54	0.141	0.536	0.055	0.213	0.582	0.971	0.996	0.999
DeepV2D2023.04		0.038	0.038	0.483	0.143	0.495	0.058	0.153	0.502	0.957	0.995	0.999
N-RGB->D2023.04		0.043	0.042	0.557	0.169	0.482	0.088	0.285	0.674	0.814	0.952	0.983
ST-CLSTM2023.04		0.087	0.087	0.31	0.134	0.4	0.076	0.289	0.751	0.772	0.932	0.983
Demon2023.04		0.16	0.159	0.143	0.107	0.271	0.098	0.228	0.651	0.839	0.951	0.982