CVPR2024, Semantic-aware SAM for Point-Prompted Instance Segmentation

SAPNet(highlight paper)

SAPNet a newly proposed method for point-prompted instance segmentation tasks is based on mmdetection.

To date, It implements the following algorithms:

• Semantic-aware SAM for Point-Prompted Instance Segmentation (CVPR2024)
• Paper is avaliable here: https://arxiv.org/abs/2312.15895

Citation

And if the following works do some help for your research, please cite:

@article{wei2023semantic,
  title={Semantic-aware SAM for Point-Prompted Instance Segmentation},
  author={Wei, Zhaoyang and Chen, Pengfei and Yu, Xuehui and Li, Guorong and Jiao, Jianbin and Han, Zhenjun},
  journal={arXiv preprint arXiv:2312.15895},
  year={2023}
}

@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},
}

@inproceedings{CPR,
  author    = {Yu, Xuehui and Chen, Pengfei and Wu, Di and Hassan, Najmul and Li,
Guorong and Yan, Junchi and Shi, Humphrey and Ye, Qixiang and Han, Zhenjun},
  title     = {Object Localization under Single Coarse Point Supervision},
  booktitle = {CVPR},
  year      = {2022},
}