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# PPR-Net++ | ||
PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios | ||
## PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios | ||
his is the project page for our IROS2019 paper and another journal paper: **PPR-Net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios **; **PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios** | ||
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## Environment | ||
Tested on python3.6/3.7, pytorch 1.1.0, Ubuntu 16.04/18.04. | ||
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## Citation | ||
If you use this codebase in your research, please cite: | ||
``` | ||
@inproceedings{pprnet19IROS, | ||
title={PPR-Net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios}, | ||
author={Dong, Zhikai and Liu, Sicheng and Zhou, Tao and Cheng, Hui and Zeng, Long and Yu, Xingyao and Liu, Houde}, | ||
booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, | ||
pages={1773--1780}, | ||
year={2019}, | ||
organization={IEEE} | ||
} | ||
``` |