Motivated by this, contrastive learning is extended to the task of object detection for better distinguishing different types of objects. In this article, a simple and effective single-stage detector, ...

Multivariate time series anomaly detection has been extensively studied in diverse domains. Within the horizon of unsupervised methods, density estimation is regarded as a promising direction. However ...