Unsupervised Model Adaptation for Continual Semantic Segmentation

Serban Stan, Mohammad Rostami

We develop an algorithm for adapting a semantic segmentation model that is trained using a labeled source domain to generalize well in an unlabeled target domain. A similar problem…