MultiDIAL : Domain Alignment Layers for (Multisource) Unsupervised Domain Ada…
One of the main challenges for developing visual recognition systems working in the wild is to devise computational models immune from the domain shift problem, i.e., accurate when test data are dr…
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Unsupervised Domain Adaptation (UDA) refers to the problem of learning a model in a target domain where labeled data are not available by leveraging information from annotated data in a source doma…
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