Cross Branch Feature Fusion Decoder for Consistency Regularization-Based Semi-Supervised Change Detection-Reference-Cited by-同舟云学术

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Cross Branch Feature Fusion Decoder for Consistency Regularization-Based Semi-Supervised Change Detection

Published:2024-04-14 Issue: Volume:33 Page:9341-9345
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Xing Yan¹,Xu Qi’ao²,Zeng Jingcheng²,Huang Rui²,Gao Sihua²,Xu Weifeng³,Zhang Yuxiang²,Fan Wei²

Affiliation:

1. Civil Aviation University of China,College of Safety Science and Engineering,Tianjin,China

2. Civil Aviation University of China,College of Computer Science and Technology,Tianjin,China

3. North China Electric Power University,Department of Computer,Beijing,China

Funder

Tianjin Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446862.pdf?arnumber=10446862

Reference28 articles.

1. Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

3. Semi-Supervised Change Detection Based on Graphs with Generative Adversarial Networks

4. Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning

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