AI RESEARCH
Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
arXiv CS.CV
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ArXi:2605.28348v1 Announce Type: new Vision-language segmentation models have recently achieved strong performance by leveraging high-level semantic object categories expressed in natural language. However, this semantic dependence limits their ability to reason about intrinsic visual properties such as shape, geometry, or texture, which are essential in many real-world applications. In this work, we