Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval-Reference-Cited by-同舟云学术

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Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval

Published:2022 Issue: Volume:31 Page:5343-5358
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Qin Jianyang¹,Fei Lunke¹^ORCID,Zhang Zheng²^ORCID,Wen Jie²^ORCID,Xu Yong²^ORCID,Zhang David³^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

2. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China

3. School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangzhou Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09850431.pdf?arnumber=9850431

Reference69 articles.

1. Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing

2. Fast discrete cross-modal hashing with semantic consistency

3. Asymmetric Discrete Cross-Modal Hashing

4. Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation

5. Deep graph-neighbor coherence preserving network for unsupervised cross-modal hashing;yu;Proc AAAI Conf Artif Intell,2021

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