Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes-Reference-Cited by-同舟云学术

Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes

Published:2024 Issue: Volume:62 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Junjie¹^ORCID,Zhang Qiming¹^ORCID,Gong Yongshun²^ORCID,Zhang Jian³^ORCID,Chen Liang⁴^ORCID,Zeng Dan¹^ORCID

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, China

2. School of Software, Shandong University, Jinan, China

3. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

4. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10507065.pdf?arnumber=10507065

Reference57 articles.

1. A cloud detection algorithm for satellite imagery based on deep learning

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5. Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

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