Subspace Learning with Outlier Exposure for Out-of-Distribution Detection

Hongxu Shen, Kun Fang, Jiahui Zheng +2

Out-of-Distribution (OoD) detection is pivotal for reliable deployments of Deep Neural Networks (DNNs), aiming to distinguish anomalous samples from the In-Distribution (InD) data…