Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3025-3029

Pairwise similarity transferring hash for unsupervised cross-modal retrieval

Kang Peipei1
Lin Zehang2
Yang Zhenguo1
Zhang Zitong3
Liu Wenyin1
1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
2. Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong 999077, China
3. College of Mathematics & Informatics, South China Agricultural University, Guangzhou 510642, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0047

Abstract

Due to the low storage and the high retrieval efficiency, hash methods have attracted much attention. This paper proposed the PSTH for unsupervised cross-modal retrieval. By transferring the reliable intra-modal pairwise similarity in each original space to the Hamming space, PSTH learnt modality-specific hash codes that inherited the pairwise similarity of the original space. Moreover, it reconstructed the similarity values instead of the similarity order, so that the objective could be achieved in a batch-wise manner. Furthermore, to narrow the heterogeneous semantic gap between different modalities, PSTH further maximized the similarity of inter-modal pairs. Extensive experiments on three public datasets show that PSTH outperforms the state-of-the-art methods.

Foundation Support

国家自然科学基金资助项目(62076073)
广东基础与应用基础研究基金资助项目(2020A1515010616)
广东创新研究团队项目(2014ZT05G157)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0047
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 3025-3029
Serial Number: 1001-3695(2021)10-024-3025-05

Publish History

[2021-10-05] Printed Article

Cite This Article

康培培, 林泽航, 杨振国, 等. 成对相似度迁移哈希用于无监督跨模态检索 [J]. 计算机应用研究, 2021, 38 (10): 3025-3029. (Kang Peipei, Lin Zehang, Yang Zhenguo, et al. Pairwise similarity transferring hash for unsupervised cross-modal retrieval [J]. Application Research of Computers, 2021, 38 (10): 3025-3029. )

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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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