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Found 2 papers, 1 papers with code
Learning transferable and discriminative features for unsupervised domain adaptation
In this paper, a novel method called \textit{learning TransFerable and Discriminative Features for unsupervised domain adaptation} (TFDF) is proposed to optimize these two objectives simultaneously.
Dual Adversarial Domain Adaptation
Recent experiments have shown that when the discriminator is provided with domain information in both domains and label information in the source domain, it is able to preserve the complex multimodal information and high semantic information in both domains.
Ranked #5 on
Domain Adaptation
on ImageCLEF-DA
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