PartCLIPSeg: A Novel Framework for Open-Vocabulary Part Segmentation Using Multi-Granularity Understanding

This research paper introduces PartCLIPSeg, a novel framework that leverages generalized parts and object-level contexts to significantly improve open-vocabulary part segmentation by addressing the limitations of existing methods in generalizing to unseen categories, handling ambiguous boundaries, and capturing underrepresented parts.