Equity in Unsupervised Domain Adaptation by Nuclear Norm Maximization-Reference-Cited by-同舟云学术

Equity in Unsupervised Domain Adaptation by Nuclear Norm Maximization

Published:2024-07 Issue:7 Volume:34 Page:5533-5545
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Wang Mengzhu¹^ORCID,Wang Shanshan²^ORCID,Yang Xun³^ORCID,Yuan Jianlong⁴,Zhang Wenju⁵

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. Information Materials and Intelligent Sensing Laboratory of Anhui Province and the Institutes of Physical Science and Information Technology, Anhui University, Hefei, China

3. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

4. Alibaba Group, Beijing, China

5. National University of Defense Technology, Changsha, Hunan, China

Funder

National Natural Science Fund of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10398225.pdf?arnumber=10398225

Reference64 articles.

1. A Survey on Transfer Learning

2. Transfer Learning for Visual Categorization: A Survey

3. Deep visual domain adaptation: A survey

4. Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation;Gong

5. Covariate Shift by Kernel Mean Matching

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