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https://github.com/SLDGroup/PP-SAM


https://github.com/SLDGroup/PP-SAM

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# PP-SAM

Official Pytorch implementation of the paper [PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation](https://openaccess.thecvf.com/content/CVPR2024W/DEF-AI-MIA/papers/Rahman_PP-SAM_Perturbed_Prompts_for_Robust_Adaption_of_Segment_Anything_Model_CVPRW_2024_paper.pdf) published in CVPRW 2024. [arxiv](https://arxiv.org/abs/2405.16740)


[Md Mostafijur Rahman1*](https://github.com/mostafij-rahman), [Mustafa Munir1](https://github.com/mmunir127), [Debesh Jha2](https://github.com/DebeshJha), [Ulas Bagci2](https://github.com/NUBagciLab), [Radu Marculescu1](https://radum.ece.utexas.edu/)

1The University of Texas at Austin, 2Northwestern University, *Corresponding Author

# Update
## ***We released the training code

## Fine-tuning pipeline



## Citations

```
@inproceedings{rahman2024pp,
title={PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation},
author={Rahman, Md Mostafijur and Munir, Mustafa and Jha, Debesh and Bagci, Ulas and Marculescu, Radu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4989--4995},
year={2024}
}
```