This is the caption of the overview figure in an academic paper: HIPIE is a unified framework which, given an image and a set of arbitrary text descriptions, provides hierarchical semantic, instance, part, and subpart-level image segmentations. This includes open-vocabulary semantic (e.g., crowds and sky), instance/panoptic (e.g., person and cat), part (e.g., head and torso), subpart (e.g., ear and nose) and referring expression (e.g., umbrella with a white pole) masks. HIPIE outperforms previous methods and established new SOTAs on these tasks regardless of their granularity or task specificity. Bottom images: our method can seamlessly integrate with SAM to enable class-aware image segmentation on SA-1B. Please generate five question and answer pairs from the above paragraph.

