Self-Supervised Feature Extraction for Domain-Specific Anomaly Detection with Normalizing Flows
The monitoring of defects using visual inspection is a complex and time-consuming task that is vital to the safety and reliability of infrastructures. This work proposes to tackle the automation of this task as a semi-supervised anomaly detection problem to overcome the limitations caused by the scarcity of defect samp...