RoCA: Robust Contrastive One-Class Time Series Anomaly Detection With Contaminated Data
{{output}}
The increasing volume of time series signals and the scarcity of labels make time series anomaly detection (TSAD) a natural fit for self-supervised deep learning. However, existing normality-based approaches face two key limitations: relying on a single assump... ...
