Two-Step Strategy for Domain Adaptation Retrieval-Reference-Cited by-同舟云学术

Two-Step Strategy for Domain Adaptation Retrieval

Published:2023 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Chen Yonghao¹^ORCID,Fang Xiaozhao²^ORCID,Liu Yuanyuan¹,Zheng Wei³,Kang Peipei¹^ORCID,Han Na³^ORCID,Xie Shengli⁴^ORCID

Affiliation:

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

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

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

4. Department of Automation, Guangdong University of Technology, Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/10164181.pdf?arnumber=10164181

Reference53 articles.

1. A Survey on Learning to Hash

2. Spectral hashing;WeissTorralba,2008

3. Deep Supervised Hashing for Fast Image Retrieval

4. Scalable graph hashing with feature transformation;Jiang

5. Hamming distance metric learning;Norouzi,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anchor-based Domain Adaptive Hashing for unsupervised image retrieval;International Journal of Machine Learning and Cybernetics;2024-08-21

2. An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision;Applied Sciences;2023-11-29