AI RESEARCH
Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding
arXiv CS.AI
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ArXi:2605.07141v1 Announce Type: cross Open-world referring segmentation requires grounding unconstrained language expressions to precise pixel-level regions. Existing multimodal large language models (MLLMs) exhibit strong open-world visual grounding, but their outputs remain limited to sparse bounding-box coordinates and are insufficient for dense visual prediction.