Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination

Jongmin Yu, Hyeontaek Oh, Minkyung Kim +1

In this paper, we propose Normality-Calibrated Autoencoder (NCAE), which can boost anomaly detection performance on the contaminated datasets without any prior information or expli…