Nicolas Passat

Label-constrained Unsupervised Domain Adaptation for Semantic Segmentation with Diffusion Models

Unsupervised Domain Adaptation (UDA) methods have emerged as a promising solution to generalize a learning to close datasets (domains) without the need to produce new ground truth. Nonetheless in biomedical images, some high domain shifts between source and target images lead to poor adaptation. To…