Algorithm Research & Explore
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1092-1096

Cross-modal hashing method based on large batch training and orthogonal regularization

Zhang Xuewang1,2
Zhou Yin1
1. School of Software Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
2. School of Microelectronics & Communication Engineering, Chongqing University, Chongqing 400044, China

Abstract

The cross-modal hashing methods based on deep learning use the small batch training method to train their model. However, it cannot get a good gradient using this training method due to the limited number of samples in each parameter update, which affects the retrieval performance of the final trained model. To solve the problem, this paper proposed a new cross-modal hashing, which used large batch training and introduced orthogonal regularization to increase the stability of this kind of training. Considering the discreteness of hash codes, it added the distance between hash codes and features to the objective function, which made hash codes to represent data more realistically. Extensive experiments on two widely used public datasets in cross-modal hashing show that this method achieves better performance than several existing hashing methods.

Foundation Support

国家自然科学基金资助项目(61571072)
重庆市基础研究与前沿探索专项重点项目(cstc2019jcyj-zdxmX0008)
重庆市重点产业共性关键技术创新专项重大主题专项(cstc2017zdcy-zdzxX0013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0040
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Algorithm Research & Explore
Pages: 1092-1096
Serial Number: 1001-3695(2021)04-024-1092-05

Publish History

[2021-04-05] Printed Article

Cite This Article

张学旺, 周印. 基于大批量训练和正交正则化的跨模态哈希方法 [J]. 计算机应用研究, 2021, 38 (4): 1092-1096. (Zhang Xuewang, Zhou Yin. Cross-modal hashing method based on large batch training and orthogonal regularization [J]. Application Research of Computers, 2021, 38 (4): 1092-1096. )

About the Journal

  • 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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