A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network

A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network

Due to the high cost and time-consumption of artificial semantic tags, domain-based adaptive semantics segmentation is very necessary. For scenes with large gaps or pixels, it is easy to limit model training and reduce the accuracy of semantic segmentation. In this paper, a domain adaptive semantic...

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Bibliographic Details
Main Author: ZHANG Junning, SU Qunxing, WANG Cheng, XU Chao, LI Yining
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-09-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
computer vision
domain adaptive semantics segmentation
domain gap
semantic information integration
interpretable mask
staged training
Online Access:http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-9-1158.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-9-1158.shtml

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