Offical code for paper of LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection in ICLR2024

LiDAR-PTQ:Post-Training Quantization for Point Cloud 3D Object Detection, ICLR2024, arXiv

LiDAR-PTQ:Post-Training Quantization for Point Cloud 3D Object Detection\ Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
Southeast University, Meituan, Zhejiang University, Nanyang Technological University

🗓️ Todo list

• 2024/3/10: Arrange code and release for CenterPoint-Pillar/Voxel on Waymo dataset
• 2024/3/30: Release setting for FSD on Waymo dataset

If you have any problems, please email me sifanjay@gmail.com

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Citation

@article{zhou2024LiDAR-PTQ,
  title={LiDAR-PTQ:Post-Training Quantization for Point Cloud 3D Object Detection},
  author={Zhou, Sifan and Li, Liang and Zhang, Xinyu and Zhang, Bo and Bai, Shipeng and Sun, Miao and Zhao, Ziyu and Lu, Xiaobo and Chu, Xiangxiang},
  journal={International Conference on Learning Representations (ICLR 2024)},
  year={2024}
}

Acknowleadgement

This work was supported in part by National Key R$&$D Program of China (No. 2022ZD0118700), National Natural Science Foundation of China (No.62271143), and the Big Data Computing Center of Southeast University.