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中国科学院自动化研究所机构知识库
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Source Publication：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Document Type：期刊论文
Funding Organization：Beijing Natural Science Foundation
Funding Project：National Natural Science Foundation of China[61633004]
Language：英语
Indexed By：SCI
Author：吴正兴
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Date Issued：2019
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Towards Real-Time Advancement of Underwater Visual Quality With GAN
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
Authors:
Chen, Xingyu
;
Yu, Junzhi
;
Kong, Shihan
;
Wu, Zhengxing
;
Fang, Xi
;
Wen, Li
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Submit date：2019/12/16
Generative adversarial networks (GAN) image restoration
machine learning
underwater vision
