Awesome
PA-AUG + MD3D
This repository contains combinations of Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021) and MD3D: Mixture-Density-based 3D Object Detection in Point Clouds (IEEE Access).
<p align="center"> <img src="docs/pa-aug.png" width="90%"> </p> <p align="center"> <img src="docs/md3d_architecture.png" width="90%"> </p>Installation & Training
Results
<p align="center"> <img src="docs/result1.png" width="90%"> </p> <p align="center"> <img src="docs/result2.png" width="90%"> </p>Citation
If you find this code useful in your research, please consider citing our work:
@inproceedings{choi2021part,
title={Part-aware data augmentation for 3d object detection in point cloud},
author={Choi, Jaeseok and Song, Yeji and Kwak, Nojun},
booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={3391--3397},
year={2021},
organization={IEEE}
}
@article{choi2022md3d,
author={Choi, Jaeseok and Song, Yeji and Kim, Yerim and Yoo, Jaeyoung and Kwak, Nojun},
journal={IEEE Access},
title={MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds},
year={2022},
volume={10},
number={},
pages={104011-104022},
doi={10.1109/ACCESS.2022.3210108}
}