This is the official implementation of Semi-supervised 3D Object Detection with PatchTeacher and PillarMix (AAAI 2024), built on OpenPCDet
Please refer to INSTALL.md for the installation of OpenPCDet
.
Please refer to DEMO.md for a quick demo to test with a pretrained model and visualize the predicted results on your custom data or the original KITTI data.
Please refer to GETTING_STARTED.md to learn more usage about this project.
Please refer to PTPM_WAYMO.md to train our method on Waymo Open Dataset.
Please refer to PTPM_ONCE.md to train our method on ONCE Dataset.
If you find this project useful in your research, please consider cite:
@inproceedings{wu2024semi,
title={Semi-supervised 3D Object Detection with PatchTeacher and PillarMix},
author={Wu, Xiaopei and Peng, Liang and Xie, Liang and Hou, Yuenan and Lin, Binbin and Huang, Xiaoshui and Liu, Haifeng and Cai, Deng and Ouyang, Wanli},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={6},
pages={6153--6161},
year={2024}
}