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Showing 1 to 1 of 1 for “"Close-set unsupervised domain adaptation"”.

  1. Domain Adaptation with a Classifier Trained by Robust Pseudo-Labels

    … of distribution discrepancies between these domains, directly training the model on the source domain cannot be expected to generate satisfactory results on the target domain. Therefore, the problem of minimizing these data distribution discrepancies is the main challenge with which modern …

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