Discriminator-free adversarial domain adaptation with information balance

Discriminator-free adversarial domain adaptation with information balance

In the realm of Unsupervised Domain Adaptation (UDA), adversarial learning has achieved significant progress. Existing adversarial UDA methods typically employ additional discriminators and feature extractors to engage in a max-min game. However, these methods often fail to effectively utilize the p...

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Bibliographic Details
Main Authors: Hui Jiang, Di Wu, Xing Wei, Wenhao Jiang, Xiongbo Qing
Format: Article
Language:English
Published: AIMS Press 2025-01-01
Series:Electronic Research Archive
Subjects:
transfer learning
domain adaptation
image classification
discriminator-free adversarial learning
dynamic balancing
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2025011
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