Preprint
Sep 2026
SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation
Reasoning segmentation converts an implicit linguistic conclusion into a precise mask, requiring both semantic identification and spatial grounding. Existing MLLM-segmenter interfaces either use a special trigger or compress both signals into one context, although they receive different supervision and fail differently...
Lin-Nan Zhao, Xu Liu, Ling-Ling Li et al.
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