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From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
[article]
2020
arXiv
pre-print
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). The whole framework consists of the part-aware stage and the part-aggregation stage. Firstly, the part-aware stage for the first time fully utilizes free-of-charge part
arXiv:1907.03670v3
fatcat:ungdwipuwzhprpd2ymgcir3cdy