When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection

Dongmin Kim, Sunghyun Park, Jaegul Choo

Time-series anomaly detection deals with the problem of detecting anomalous timesteps by learning normality from the sequence of observations. However, the concept of normality evo…