Interactive Explainable Anomaly Detection for Industrial Settings

Daniel Gramelt, Timon Höfer, Ute Schmid

Being able to recognise defects in industrial objects is a key element of quality assurance in production lines. Our research focuses on visual anomaly detection in RGB images. Alt…