Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping

Dongha Lee, Sehun Yu, Hyunjun Ju +1

Most recent studies on detecting and localizing temporal anomalies have mainly employed deep neural networks to learn the normal patterns of temporal data in an unsupervised manner…