AI RESEARCH
WOW-Seg: A Word-free Open World Segmentation Model
arXiv CS.CV
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ArXi:2605.16903v1 Announce Type: new Open world image segmentation aims to achieve precise segmentation and semantic understanding of targets within images by addressing the infinitely open set of object categories encountered in the real world. However, traditional closed-set segmentation approaches struggle to adapt to complex open world scenarios, while foundation segmentation models such as SAM exhibit notable discrepancies between their strong segmentation capabilities and relatively weaker semantic understanding.