Anomaly detection has gained considerable attention due to its broad ran...
Electrocardiogram (ECG) is a widely used diagnostic tool for detecting h...
This paper considers few-shot anomaly detection (FSAD), a practical yet
...
Recently, anomaly detection and localization in multimedia data have rec...
In this paper, we propose a self-supervised approach for tumor segmentat...
This paper explores semi-supervised anomaly detection, a more practical
...
Surrogate task based methods have recently shown great promise for
unsup...
Deep convolutional neural networks (CNNs) have made impressive progress ...