Title
Fixing Defect of Photometric Loss for Self-Supervised Monocular Depth Estimation
Abstract
View-synthesis-based methods have shown very promising results for the task of unsupervised depth estimation in single images. Most existing approaches synthesize a new image and employ it as the supervision signal for depth and pose prediction. There are two problems in these approaches: 1) There are many combinations of pose and depth that can synthesize a certain new image; therefore, reconstru...
Year
DOI
Venue
2022
10.1109/TCSVT.2021.3068834
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Cameras,Geometry,Three-dimensional displays,Estimation,Optical variables control,Optical imaging,Deep learning
Journal
32
Issue
ISSN
Citations 
3
1051-8215
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Shu Chen1302.83
Zhengdong Pu200.34
Xiang Fan300.34
Beiji Zou423141.61