AI RESEARCH
Template-Based Feature Aggregation Network for Industrial Anomaly Detection
arXiv CS.CV
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ArXi:2603.22874v1 Announce Type: new Industrial anomaly detection plays a crucial role in ensuring product quality control. Therefore, proposing an effective anomaly detection model is of great significance. While existing feature-reconstruction methods have nstrated excellent performance, they face challenges with shortcut learning, which can lead to undesirable reconstruction of anomalous features.