Segmenting and recognizing diverse object parts is a crucial ability in
applications spanning various computer vision and robotic tasks. While
significant progress has been made in object-level Open-Vocabulary Semantic
Segmentation (OVSS), i.e., segmenting objects with arbitrary text, the
corresponding part-level research poses additional challenges. Firstly