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canqin001/SoTA-Point-Cloud

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Deep Learning for 3D Point Clouds: A Survey

Yulan Guoβˆ—, Hanyun Wangβˆ—, Qingyong Huβˆ—, Hao Liuβˆ—, Li Liu, and Mohammed Bennamoun. arXiv:1912.12033, 2019.

This repository provides the benchmark results of existing methods.

Updated on a regular basis~ πŸŽ‰πŸŽ‰πŸŽ‰

(1) 3D Shape Classification

(2) 3D Object Detection

(3) 3D Point Cloud Segmentation

Citation

If you find our work useful in your research, please consider citing:

@article{guo2019deep,
 title={Deep Learning for 3D Point Clouds: A Survey},
 author={Guo, Yulan and Wang, Hanyun and Hu, Qingyong and Liu, Hao and Liu, Li and Bennamoun, Mohammed},
 journal={arXiv preprint arXiv:1912.12033},
 year={2019}
}

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Deep Learning for 3D Point Clouds

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