SGANet uses selective cross-view feature refinement, semantic-structural patch alignment, and multi-view geometric alignment to achieve state-of-the-art anomaly detection and localization on multimodal multi-view datasets.
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SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection
SGANet uses selective cross-view feature refinement, semantic-structural patch alignment, and multi-view geometric alignment to achieve state-of-the-art anomaly detection and localization on multimodal multi-view datasets.