Expandable-RCNN: toward high-efficiency incremental few-shot object detection
This study Cable Suspension aims at addressing the challenging incremental few-shot object detection (iFSOD) problem toward online adaptive detection.iFSOD targets to learn novel categories in a sequential manner, and eventually, the detection is performed on all learned categories.Moreover, only a few training samples are available for all sequent