Underwater Species Detection using Channel Sharpening Attention-Reference-Cited by-同舟云学术

Underwater Species Detection using Channel Sharpening Attention

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
language:
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Author:

Jiang Lihao¹,Wang Yi¹,Jia Qi¹,Xu Shengwei²,Liu Yu¹,Fan Xin¹,Li Haojie¹,Liu Risheng³,Xue Xinwei¹,Wang Ruili⁴

Affiliation:

1. Dalian University of Technology, Dalian, China

2. ByteDance Inc, Shanghai, China

3. Dalian University of Technology, Dalian & Guangzhou, China

4. Massey University, Auckland, New Zealand

Funder

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475563

Reference43 articles.

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2. Long Chen Zheheng Jiang Lei Tong Zhihua Liu Aite Zhao Qianni Zhang Junyu Dong and Huiyu Zhou. 2020. Perceptual underwater image enhancement with deep learning and physical priors. arXiv:2008.09697 [cs.CV] Long Chen Zheheng Jiang Lei Tong Zhihua Liu Aite Zhao Qianni Zhang Junyu Dong and Huiyu Zhou. 2020. Perceptual underwater image enhancement with deep learning and physical priors. arXiv:2008.09697 [cs.CV]

3. Long Chen Zhihua Liu Lei Tong Zheheng Jiang Shengke Wang Junyu Dong and Huiyu Zhou. 2020. Underwater object detection using Invert Multi-Class Adaboost with deep learning. arXiv:2005.11552 [cs.CV] Long Chen Zhihua Liu Lei Tong Zheheng Jiang Shengke Wang Junyu Dong and Huiyu Zhou. 2020. Underwater object detection using Invert Multi-Class Adaboost with deep learning. arXiv:2005.11552 [cs.CV]

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