5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Certainty Volume Prediction for Unsupervised Domain Adaptation
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. Unfortun…
cs.CV2021★ 1 cited
UBRS: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
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. Th…
cs.CV2020★ 5 cited
Unsupervised Domain Adaptation by Uncertain Feature Alignment
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. In this paper, we utilize the i…