Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection

Mohamed Bahi Yahiaoui, Geoffrey Daniel, Loïc Giraldi +2

Out-of-distribution (OOD) detection aims to identify inputs that differ from the training distribution in order to reduce unreliable predictions by deep neural networks. Among post…