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3DSSD: Point-Based 3D Single Stage Object Detector
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Prevalence of voxel-based 3D single-stage detectors contrast with underexplored point-based methods. In this paper, we present a lightweight point-based 3D single stage object detector 3DSSD to achieve decent balance of accuracy and efficiency. In this paradigm, all upsampling layers and the refinement stage, which are indispensable in all existing point-based methods, are abandoned. We instead propose a fusion sampling strategy in downsampling process to make detection on less representative
doi:10.1109/cvpr42600.2020.01105
dblp:conf/cvpr/YangS0J20
fatcat:aofaer6njbdc7khlfgz53y6g5e