2019
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
NeurIPS 2019poster
Despite the wide success of deep neural networks (DNN), little progress has been made on end-to-end unsupervised outlier detection (UOD) from high dimensional data like raw images. In this paper, we propose a framework named E^3Outlier, which can perform UOD in a both effective and end-to-end manner…