Self-Supervised Depth Completion Based on Multi-Modal Spatio-Temporal Consistency

Self-Supervised Depth Completion Based on Multi-Modal Spatio-Temporal Consistency

Due to the low cost and easy deployment, self-supervised depth completion has been widely studied in recent years. In this work, a self-supervised depth completion method is designed based on multi-modal spatio-temporal consistency (MSC). The self-supervised depth completion nowadays faces other pro...

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Bibliographic Details
Main Authors:	Quan Zhang, Xiaoyu Chen, Xingguo Wang, Jing Han, Yi Zhang, Jiang Yue
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Remote Sensing
Subjects:	depth completion lidar data processing self-supervised sensor fusion multi-modal deep learning
Online Access:	https://www.mdpi.com/2072-4292/15/1/135

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