Self-supervised Adaptation for Open Vocabulary Semantic Segmentation via 3D Mapping
This project aims at developing a pipeline for unsupervised domain adaptation (UDA) for open-vocabulary semantic segmentation. The method is based on a state-of-the-art 3D mapping framework for open-vocabulary semantic understanding, aimed to provide the supervision signal.
