Solving Missing-Annotation Object Detection with Background Recalibration Loss

Han Zhang, Fangyi Chen, Zhiqiang Shen +3

This paper focuses on a novel and challenging detection scenario: A majority of true objects/instances is unlabeled in the datasets, so these missing-labeled areas will be regarded…