Deployed into an open world, object detectors are prone to open-set errors, false positive detections of classes not present in the training dataset.We propose GMM-Det, a real-time method for extracting epistemic uncertainty from identify and reject errors. GMM-Det trains detector produce structured logit space that is modelled with class-specific Gaussian Mixture Models. At test time, errors i...