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3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces
To address these challenges, we propose a novel untrained anomaly detection method based on 3D point cloud data for complex manufacturing parts, which can achieve accurate anomaly detection in a single sample without training data.
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