Methods › Computer Vision › 3D Object Detection Models › 3DSSD
3DSSD
Introduced by Zetong Yang et al. in 3DSSD: Point-based 3D Single Stage Object Detector
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
3DSSD is a point-based 3D single stage object detection detector. In this paradigm, all upsampling layers and refinement stage, which are indispensable in all existing point-based methods, are abandoned to reduce the large computation cost. The authors propose a fusion sampling strategy in the downsampling process to make detection on less representative points feasible. A delicate box prediction network including a candidate generation layer, an anchor-free regression head with a 3D center-ness assignment strategy is designed to meet the needs of accuracy and speed.
Papers archive 2025-07-28
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3DSSD: Point-based 3D Single Stage Object Detector 24 Feb 2020 · 2 repositories · arXiv:2002.10187
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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