PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
In order to deal with the sparse and unstructured raw point clouds, most LiDAR based 3D object detection research focuses on designing dedicated local point aggregators for fine-grained geometrical modeling. In this paper, we revisit the local point aggregators from the perspective of allocating computational resources. We find that the …