Jiangxiao Han

Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection

"Sparsely Annotated Object Detection (SAOD) tackles the issue of incomplete labeling in object detection. Compared with Fully Annotated Object Detection (FAOD), SAOD is more complicated and challenging. Unlabeled objects tend to provide wrong supervision to the detectors during training, resulting i…