Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 4
1240-1244,1255

Asymmetric two-branch interactive neural network for underwater image classification

Zhao Li
Song Wei
School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214000, China
DOI: 10.19734/j.issn.1001-3695.2020.03.0083

Abstract

Based on convolution neural network, this paper proposed a new asymmetric two branch underwater biological classification model to solve the problems of low visibility, poor illumination conditions and no obvious differences among species in the underwater environment. In the model, the interactive branch used different convolution neural network to extracted local features and interacted with local features through the interactive module to enhance the classification model. Convolutional neural network branch could effectively learn the global characteristics of the target and made up for the global information ignored in the interactive branch. Finally, this model obtained 98.9%, 98.3% and 97.9% of the accuracy on the three data sets of Fish4-Knowledge(F4K), Eilat and RAMAS, which were significantly improved compared with the previous methods. Visual interpretation also verifies that the model could effectively capture local features and eliminated the background influence. Finally, it shows that the model has good classification performance in underwater environment.

Foundation Support

国家自然科学基金资助项目(61673193)
中央高校基本科研业务费专项资金资助项目(JUSRP51635B)
中国博士后科学基金资助项目(2017M621625)
江苏省自然科学基金资助项目(BK20181341)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.03.0083
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Graphic & Image
Pages: 1240-1244,1255
Serial Number: 1001-3695(2021)04-054-1240-05

Publish History

[2021-04-05] Printed Article

Cite This Article

赵力, 宋威. 基于非对称双分支交互神经网络的水下生物识别 [J]. 计算机应用研究, 2021, 38 (4): 1240-1244,1255. (Zhao Li, Song Wei. Asymmetric two-branch interactive neural network for underwater image classification [J]. Application Research of Computers, 2021, 38 (4): 1240-1244,1255. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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