GDM-depth: Leveraging global dependency modelling for self-supervised indoor depth estimation-Reference-Cited by-同舟云学术

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GDM-depth: Leveraging global dependency modelling for self-supervised indoor depth estimation

Published:2024-09 Issue: Volume:149 Page:105160
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Lv Chen,Han Chenggong,Lang Jochen,Jiang He,Cheng Deqiang,Qian Jiansheng

Publisher

Elsevier BV

Reference77 articles.

1. MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environmen-ts;Ji,2021

2. Self-supervised learning with geometric constraints in monocular video: connecting flow, depth, and camera;Chen,2019

3. StructDepth: leveraging the structural regularities for self-supervised indoor depth estimation;Li,2021

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

5. Digging into self-supervised monocular depth estimation;Godard,2019

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