Anomaly Detection with Adversarial Dual Autoencoders

Ha Son Vu, Daisuke Ueta, Kiyoshi Hashimoto +3

Semi-supervised and unsupervised Generative Adversarial Networks (GAN)-based methods have been gaining popularity in anomaly detection task recently. However, GAN training is somew…