| Towards Real-Time Advancement of Underwater Visual Quality With GAN | |
| Chen, Xingyu; Yu, Junzhi; Kong, Shihan; Wu, Zhengxing; Fang, Xi; Wen, Li | |
| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
 |
| 2019 | |
| 卷号 | 66页码:9350-9359 |
| 关键词 | Generative adversarial networks (GAN) image restoration machine learning underwater vision |
| ISSN号 | 0278-0046 |
| DOI | 10.1109/TIE.2019.2893840 |
| URL标识 | 查看原文 |
| 收录类别 | SCIE ; EI |
| WOS记录号 | WOS:000480309400023 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/5916007 |
| 专题 | 北京航空航天大学 |
| 推荐引用方式 GB/T 7714 | Chen, Xingyu,Yu, Junzhi,Kong, Shihan,et al. Towards Real-Time Advancement of Underwater Visual Quality With GAN[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2019,66:9350-9359. |
| APA | Chen, Xingyu,Yu, Junzhi,Kong, Shihan,Wu, Zhengxing,Fang, Xi,&Wen, Li.(2019).Towards Real-Time Advancement of Underwater Visual Quality With GAN.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,66,9350-9359. |
| MLA | Chen, Xingyu,et al."Towards Real-Time Advancement of Underwater Visual Quality With GAN".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 66(2019):9350-9359. |
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