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[CVPR2024] PointOBB: Learning Oriented Object Detection via Single Point Supervision

Paper

The paper is accepted by CVPR2024 and the preprint is available at: https://arxiv.org/abs/2311.14757.

Pipeline Image

Train/Test

Please see PointOBB/README.md.

Weight

DIOR-R

Backbone mAP Angle Config Detector Download
ResNet50 (1024,1024,200) 38.08 le90 pointobb-dior Oriented RCNN model

DOTA-v1.0

Backbone mAP Angle Config Detector Download
ResNet50 (1024,1024,200) 33.31 le90 pointobb-dota Oriented RCNN model

Citation

If you find this work helpful, please consider to cite:

@article{luo2023pointobb,
  title={PointOBB: Learning Oriented Object Detection via Single Point Supervision},
  author={Luo, Junwei and Yang, Xue and Yu, Yi and Li, Qingyun and Yan, Junchi and Li, Yansheng},
  journal={arXiv preprint arXiv:2311.14757},
  year={2023}
}

Special thanks to the codebase contributors of MMRotate and P2BNet!

@inproceedings{zhou2022mmrotate,
  title   = {MMRotate: A Rotated Object Detection Benchmark using PyTorch},
  author  = {Zhou, Yue and Yang, Xue and Zhang, Gefan and Wang, Jiabao and Liu, Yanyi and
             Hou, Liping and Jiang, Xue and Liu, Xingzhao and Yan, Junchi and Lyu, Chengqi and
             Zhang, Wenwei and Chen, Kai},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
  year={2022}
}
@inproceedings{P2BNet,
  author    = {Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, and Qixiang Ye},
  title     = {Point-to-Box Network for Accurate Object Detection via Single Point Supervision},
  booktitle = {ECCV},
  year      = {2022},
}

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