SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
Yun Zhu,
Le Hui,
Yaqi Shen
et al.
Abstract:Current 3D object detection methods for indoor scenes mainly follow the voting-and-grouping strategy to generate proposals. However, most methods utilize instance-agnostic groupings, such as ball query, leading to inconsistent semantic information and inaccurate regression of the proposals. To this end, we propose a novel superpoint grouping network for indoor anchor-free one-stage 3D object detection. Specifically, we first adopt an unsupervised manner to partition raw point clouds into superpoints, areas wit… Show more
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