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

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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

  • 2024/7/16: Arrange code and release for CenterPoint-Pillar/Voxel/FSD on nuscenes dataset

If you have any problems, please email me [email protected]

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Citation

@inproceedings{
zhou2024lidarptq,
title={Li{DAR}-{PTQ}: Post-Training Quantization for Point Cloud 3D Object Detection},
author={Sifan Zhou and Liang Li and Xinyu Zhang and Bo Zhang and Shipeng Bai and Miao Sun and Ziyu Zhao and Xiaobo Lu and Xiangxiang Chu},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024},
url={https://openreview.net/forum?id=0d1gQI114C}
}

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.

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