AI RESEARCH
SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection
arXiv CS.CV
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ArXi:2604.05632v1 Announce Type: new Multi-view anomaly detection aims to identify surface defects on complex objects using observations captured from multiple viewpoints. However, existing unsupervised methods often suffer from feature inconsistency arising from viewpoint variations and modality discrepancies.