Multi‐source to multi‐target domain adaptation method based on similarity measurement

Multi‐source to multi‐target domain adaptation method based on similarity measurement

Abstract Most existing domain adaption methods solve the problem of data distribution similarity in single‐source to single‐target domain or multi‐source to single‐target domain adaption, but the more realistic multi‐source to multi‐target domain transfer scenarios are ignored. At the same time, les...

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Bibliographic Details
Main Authors: Lan Wu, Han Wang, Yuan Yao
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Image Processing
Subjects:
cross‐domain mutual learning strategy
distributed alignment
domain adaptation
image classification
similarity measurement
Online Access:https://doi.org/10.1049/ipr2.12931

Internet

https://doi.org/10.1049/ipr2.12931

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