Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval-Reference-Cited by-同舟云学术

Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval

Published:2024-01 Issue:1 Volume:36 Page:429-444
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Huang Junfan¹^ORCID,Kang Peipei¹^ORCID,Han Na²^ORCID,Chen Yonghao¹^ORCID,Fang Xiaozhao³^ORCID,Gao Hongbo⁴^ORCID,Zhou Guoxu⁵^ORCID

Affiliation:

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

2. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

3. School of Automation and Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology, Guangdong University of Technology, Guangzhou, China

4. Department of Automation, School of Information Science and Technology, University of Science and Technology of China, Hefei, China

5. School of Automation, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong Provincial National Science Foundation

Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology

Science and Technology Planning Project of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Huangpu International Sci&Tech Cooperation Foundation of Guangzhou

Guangdong Polytechnic Normal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10348031/10146484.pdf?arnumber=10146484

Reference60 articles.

1. An efficient dual semantic preserving hashing for cross-modal retrieval

2. Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval

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

4. Online Multi-modal Hashing with Dynamic Query-adaption

5. SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval

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