Self-supervised Representation Learning for the Object Detection of Marine Radar

Author:

Si Lingyu1,Li Gang2,Zheng Changwen3,Xu Fanjiang3

Affiliation:

1. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), China and Institute of Software;, Chinese Academy of Sciences;University of Chinese Academy of Sciences, China

2. Institute of Software, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China

3. Institute of Software, Chinese Academy of Sciences, China

Publisher

ACM

Reference54 articles.

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3. Anthony  J Bell and Terrence  J Sejnowski . 1995. An information-maximization approach to blind separation and blind deconvolution. Neural computation 7, 6 ( 1995 ), 1129–1159. Anthony J Bell and Terrence J Sejnowski. 1995. An information-maximization approach to blind separation and blind deconvolution. Neural computation 7, 6 (1995), 1129–1159.

4. Yoshua Bengio , Aaron Courville , and Pascal Vincent . 2013. Representation learning: A review and new perspectives . IEEE transactions on pattern analysis and machine intelligence 35, 8( 2013 ), 1798–1828. Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35, 8(2013), 1798–1828.

5. Neural network-based radar detection for an ocean environment

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