Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank

arXiv:2404.19299v1 Announce Type: new
Abstract: Pedestrian detection is a crucial field of computer vision research which can be adopted in various real-world applications (e.g., self-driving systems). However, despite noticeable evolution of pedestrian detection, pedestrian representations learned within a detection framework are usually limited to particular scene data in which they were trained. Therefore, in this paper, we propose a novel approach to construct versatile pedestrian knowledge bank containing representative pedestrian knowledge which can be applicable to various detection frameworks and …

abstract applications arxiv bank computer computer vision cs.cv data detection driving evolution framework however knowledge pedestrian research robust self-driving systems type via vision vision research world