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FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation

Kunhua Liu Zihao Ye Hongyan Guo Dongpu Cao Long Chen Fei-Yue Wang

自动化学报（英文版）2021，Vol.8Issue(8)：1428-1439,12.

自动化学报（英文版）2021，Vol.8Issue(8)：1428-1439,12.DOI:10.1109/JAS.2021.1004057

FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation

Kunhua Liu ¹Zihao Ye ¹Hongyan Guo ²Dongpu Cao ³Long Chen ¹Fei-Yue Wang⁴

作者信息

1. School of Computer Science and Engineering,Sun Yat-sen University,Guangzhou 510006,China
2. State Key Laboratory of Automotive Simulation and Control and the Department of Control Science and Engineering,Jilin University
3. Mechanical and Mechatronics Engineering Department at the University of Waterloo,200 University Avenue West Waterloo,ON N2L 3G1,Canada
4. State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190
折叠

摘要

关键词

Edge GAN/foggy images/foggy image semantic segmentation GAN/semantic segmentation

Key words

Edge GAN/foggy images/foggy image semantic segmentation GAN/semantic segmentation

引用本文复制引用

Kunhua Liu,Zihao Ye,Hongyan Guo,Dongpu Cao,Long Chen,Fei-Yue Wang..FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation[J].自动化学报（英文版）,2021,8(8):1428-1439,12.

基金项目

This work was supported in part by the National Key Research and Development Program of China(2018YFB1305002),the National Natural Science Foundation of China(62006256),the Postdoctoral Science Foundation of China(2020M683050),the Key Research and Development Program of Guangzhou(202007050002),and the Fundamental Research Funds for the Central Universities(67000-31610134). （2018YFB1305002）

自动化学报（英文版）

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ISSN：2329-9266

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