DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection

Lixu Wang, Shichao Xu, Xinyu Du +1

Anomaly detection in time-series data is crucial for identifying faults, failures, threats, and outliers across a range of applications. Recently, deep learning techniques have bee…