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Cost-Aware Vision--Language Model Arbitration for Fabric Structure Recognition A Deployable Multi-Agent System
Recognizing a fabric's structure is a prerequisite for translating textile-specific material information into structured digital form for downstream supply-chain systems. Pure CNN classifiers are cost-efficient but fail on visually ambiguous categories; vision--language models (VLMs) generalize more
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