Unsupervised Domain Adaptation via Calibrating Uncertainties

25 Jul 2019 Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris Metaxas

Unsupervised domain adaptation (UDA) aims at inferring class labels for unlabeled target domain given a related labeled source dataset. Intuitively, a model trained on source domain normally produces higher uncertainties for unseen data... (read more)

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METHOD TYPE
Entropy Regularization
Regularization