2021
Unsupervised Model Adaptation for Continual Semantic Segmentation
AAAI 2021technical
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 has been studied extensively in the unsupervised domain adaptation (UDA) literature, but existing UDA algorithms requir…