Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation

Multi-source domain adaptation (MSDA) plays an important role in industrial model generalization. Recent efforts regarding MSDA focus on enhancing multi-domain distributional alignment while omitting three issues, e.g., the class-level discrepancy quantification, the unavailability of noisy pseudo l...

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Bibliographic Details
Main Authors: Min Huang, Zifeng Xie, Bo Sun, Ning Wang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
multiple sources
domain adaptation
prototype learning
prototype aggregation
Online Access:https://www.mdpi.com/2227-7390/13/4/579
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