Self-Training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation

A novel self-training approach that incorporates a mean-teacher model and a reliability metric learned through proxy-based metric learning to effectively adapt a pre-trained source model to the target domain without access to source data.