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Rethinking Dimensionality Reduction in Grid-based 3D Object Detection. (arXiv:2209.09464v2 [cs.CV] UPDATED)
Sept. 27, 2022, 1:13 a.m. | Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang
cs.CV updates on arXiv.org arxiv.org
Bird's eye view (BEV) is widely adopted by most of the current point cloud
detectors due to the applicability of well-explored 2D detection techniques.
However, existing methods obtain BEV features by simply collapsing voxel or
point features along the height dimension, which causes the heavy loss of 3D
spatial information. To alleviate the information loss, we propose a novel
point cloud detection network based on a Multi-level feature dimensionality
reduction strategy, called MDRNet. In MDRNet, the Spatial-aware Dimensionality
Reduction (SDR) …
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