Multi‐metric domain adaptation for unsupervised transfer learning
Author:
Affiliation:
1. School of Computer Science and Technology, Harbin Institute of TechnologyHarbinPeople's Republic of China
2. Peng Cheng LaboratoryShenzhenPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1434
Reference63 articles.
1. A survey of transfer learning
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4. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
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