Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation

Robert A. Marsden, Alexander Bartler, Mario Döbler +1

Deep convolutional neural networks have considerably improved state-of-the-art results for semantic segmentation. Nevertheless, even modern architectures lack the ability to genera…