Original paper
Focal Sparse Convolutional Networks for 3D Object Detection
Pages: 5418 - 5427
Published: Jun 1, 2022
Abstract
Non-uniformed 3D sparse data, e.g., point clouds or voxels in different spatial positions, make contribution to the task of 3D object detection in different ways. Existing basic components in sparse convolutional networks (Sparse CNNs) process all sparse data, regardless of regular or submanifold sparse convolution. In this paper, we introduce two new modules to enhance the capability of Sparse CNNs, both are based on making feature sparsity...
Paper Details
Title
Focal Sparse Convolutional Networks for 3D Object Detection
Published Date
Jun 1, 2022
Pages
5418 - 5427