Skip to content

canqin001/SoTA-Point-Cloud

 
 

Repository files navigation

Deep Learning for 3D Point Clouds: A Survey

Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun. arXiv:1912.12033, 2019.

This repository provides the benchmark results of existing methods.

Updated on a regular basis~ 🎉🎉🎉

(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}
}

About

Deep Learning for 3D Point Clouds

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published