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SGDB: Semantic-Geometric Decoupling and Evidence Binding for Logical Anomaly Detection
Logical anomaly detection requires recognizing scene components and measuring whether their configuration satisfies task constraints. Correct identities can coexist with inaccurate geometry; clean mask fragments can yield misleading lengths. We propose Semantic-Geometric Decoupling and Evidence Bind
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