1 code implementation • 3 Nov 2021 • Tobias Ringwald, Rainer Stiefelhagen
Unsupervised domain adaptation (UDA) deals with the problem of classifying unlabeled target domain data while labeled data is only available for a different source domain.
1 code implementation • 22 Oct 2021 • Tobias Ringwald, Rainer Stiefelhagen
Unsupervised domain adaptation (UDA) deals with the adaptation process of a model to an unlabeled target domain while annotated data is only available for a given source domain.
1 code implementation • WACV 2021 • Tobias Ringwald, Rainer Stiefelhagen
Unsupervised domain adaptation (UDA) deals with the adaptation process of a given source domain with labeled training data to a target domain for which only unannotated data is available.
1 code implementation • 14 Sep 2020 • Tobias Ringwald, Rainer Stiefelhagen
Unsupervised domain adaptation (UDA) deals with the adaptation of models from a given source domain with labeled data to an unlabeled target domain.