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08/20/2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Domain generalization approaches aim to learn a domain invariant predict...
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04/28/2021
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
Unsupervised domain adaptation seeks to mitigate the distribution discre...
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04/28/2021
Deep Domain Generalization with Feature-norm Network
In this paper, we tackle the problem of training with multiple source do...
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11/29/2019
Correlation-aware Adversarial Domain Adaptation and Generalization
Domain adaptation (DA) and domain generalization (DG) have emerged as a ...
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01/02/2019
On Minimum Discrepancy Estimation for Deep Domain Adaptation
In the presence of large sets of labeled data, Deep Learning (DL) has ac...
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12/21/2018