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SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
[article]
2021
arXiv
pre-print
Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and the projection methods in previous works fail to establish the relationships between the local point sets. In this paper, we propose Sparse Voxel-Graph Attention Network (SVGA-Net), a novel end-to-end trainable network which mainly contains voxel-graph module and sparse-to-dense regression module to achieve comparable 3D detection tasks from raw LIDAR
arXiv:2006.04043v2
fatcat:p4jzhx74pnclpdgkh4uo7hrbwy