DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran +3

Recently, the introduction of the generative adversarial network (GAN) and its variants has enabled the generation of realistic synthetic samples, which has been used for enlarging…