Self-Supervised Monocular Depth Learning in Low-Texture Areas

Self-Supervised Monocular Depth Learning in Low-Texture Areas

For the task of monocular depth estimation, self-supervised learning supervises training by calculating the pixel difference between the target image and the warped reference image, obtaining results comparable to those with full supervision. However, the problematic pixels in low-texture regions ar...

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Bibliographic Details
Main Authors: Wanpeng Xu, Ling Zou, Lingda Wu, Zhipeng Fu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
self-supervised
depth estimation
low-texture
Online Access:https://www.mdpi.com/2072-4292/13/9/1673

Internet

https://www.mdpi.com/2072-4292/13/9/1673

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