2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NeurIPS 2022accept
Detecting out-of-distribution (OOD) objects is indispensable for safely deploying object detectors in the wild. Although distance-based OOD detection methods have demonstrated promise in image classification, they remain largely unexplored in object-level OOD detection. This paper bridges the gap by…