A lightweight network for monocular depth estimation with decoupled body and edge supervision-Reference-Cited by-同舟云学术

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A lightweight network for monocular depth estimation with decoupled body and edge supervision

Published:2021-09 Issue: Volume:113 Page:104261
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Ali Usman,Bayramli Bayram,Alsarhan Tamam,Lu Hongtao

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference44 articles.

1. The interpretation of structure from motion;Ullman,1979

2. Structure-aware residual pyramid network for monocular depth estimation;Chen,2019

3. Enforcing geometric constraints of virtual normal for depth prediction;Yin,2019

4. Unsupervised monocular depth estimation with left-right consistency;Godard,2017

5. Deep ordinal regression network for monocular depth estimation;Fu,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DCL-depth: monocular depth estimation network based on iam and depth consistency loss;Multimedia Tools and Applications;2024-03-25

2. Self-supervised monocular Depth estimation with multi-scale structure similarity loss;Multimedia Tools and Applications;2022-10-03

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