Weijun Su

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network

Existing anomaly detection models show success in detecting abnormal images with generative adversarial networks on the insufficient annotation of anomalous samples. However, existing models cannot accurately identify the anomaly samples which are close to the normal samples. We assume that the main…