Title
Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency
Abstract
Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several studies have been proposed to jointly train these two tasks using some small modifications, such as changing the last layer, the result of one task is not utilized to improve the performance of the other one despite that there ar...
Year
DOI
Venue
2021
10.1109/TNNLS.2021.3072883
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Semantics,Task analysis,Image segmentation,Image reconstruction,Buildings,Vegetation mapping,Feature extraction
Journal
32
Issue
ISSN
Citations 
12
2162-237X
1
PageRank 
References 
Authors
0.35
13
6
Name
Order
Citations
PageRank
Chongzhen Zhang120.71
Yang Tang2131064.50
Chaoqiang Zhao321.38
Qiyu Sun422123.66
Zhencheng Ye510.35
Jürgen Kurths62000142.58