Franco Fummi

TIPSter: Zero-Shot Anomaly Detection via Language-Steered Anomaly-Informed Patches

Industrial anomaly detection is essential for automated quality inspection, yet collecting representative defect samples for every product and failure mode remains costly and often impractical. In this article, we propose TIPSter, a Zero-Shot Anomaly Detection (ZSAD) framework that leverages language-steered anomaly-in...