From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

8 Jul 2019Shaoshuai ShiZhe WangJianping ShiXiaogang WangHongsheng Li

3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications. In this paper, we extend our preliminary work PointRCNN to a novel and strong point-cloud-based 3D object detection framework, the part-aware and aggregation neural network (Part-$A^2$ net)... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.