Deep learning for visual anomaly detection and defect recognition
Date:
Invited speaker at the ANZAAS Science Talk series. The talk summarised my PhD research at RMIT University on deep learning methods for visual anomaly detection and defect recognition, including work on multi-head attention networks for video anomaly detection and Random Finite Set frameworks for point-pattern learning.