ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing-Reference-Cited by-同舟云学术

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ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing

Published:2024 Issue: Volume:19 Page:7690-7704
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Yang Xinlong¹^ORCID,Wang Haixin¹^ORCID,Sun Jinan¹^ORCID,Xiao Yijia²,Xiang Wei³^ORCID,Chen Chong⁴,Hua Xian-Sheng⁴^ORCID,Luo Xiao²^ORCID

Affiliation:

1. National Engineering and Research Center for Software Engineering, Peking University, Beijing, China

2. Department of Computer Science, University of California at Los Angeles, Los Angeles, CA, USA

3. BIGO Ltd., Suntec Tower 3, Singapore

4. Terminus Group, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10637714.pdf?arnumber=10637714

Reference82 articles.

1. LIDER

2. Label-Consistent Generalizable Hash Codes

3. Compact Provenance Scheme Through Packet Path Index Differences in WSNs

4. Redactable Blockchain From Decentralized Chameleon Hash Functions

5. Probability Weighted Compact Feature for Domain Adaptive Retrieval

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