Jonghye Woo

Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis

2021 · arXiv (Cornell University)

Self-training based unsupervised domain adaptation (UDA) has shown great potential to address the problem of domain shift, when applying a trained deep learning model in a source domain to unlabeled target domains. However, while the …

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate

2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In this work, we propose an adversarial unsupervised domain adaptation (UDA) method under inherent conditional and label shifts, in which we aim to align the distributions w.r.t. both p(x|y) and p(y). Since labels are inaccessible …