Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing

Jinggang Chen, Xiaoyang Qu, Junjie Li +3

Out-of-distribution (OOD) detection aims at enhancing standard deep neural networks to distinguish anomalous inputs from original training data. Previous progress has introduced va…