RepPoints

2000년 도입 · 논문 11편에서 사용

RepPoints is a representation for object detection that consists of a set of points which indicate the spatial extent of an object and semantically significant local areas. This representation is learned via weak localization supervision from rectangular ground-truth boxes and implicit recognition feedback. Based on the richer RepPoints representation, the authors develop an anchor-free object detector that yields improved performance compared to using bounding boxes.

출처: RepPoints: Point Set Representation for Object Detection

소개 논문: RepPoints: Point Set Representation for Object Detection