Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift-Reference-Cited by-同舟云学术

Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift

Published:2023-08-01 Issue:4 Volume:9 Page:1102-1115
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Tian Xing¹,Ng Wing W. Y.²^ORCID,Xu Huihui³

Affiliation:

1. School of Artificial Intelligence, South China Normal University, Guangzhou, China

2. Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

3. Hong Kong University of Science and Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

67th China Postdoctoral Science Foundation

Guangdong Province Science and Technology Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10177823/10004724.pdf?arnumber=10004724

Reference47 articles.

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2. MIHash: Online Hashing with Mutual Information

3. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

4. Online supervised hashing

5. Semi-Supervised Hashing for Large-Scale Search

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