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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 published in CVPRW 2024. arxiv
<br> Md Mostafijur Rahman<sup>1*</sup>, Mustafa Munir<sup>1</sup>, Debesh Jha<sup>2</sup>, Ulas Bagci<sup>2</sup>, Radu Marculescu<sup>1</sup>

<p><sup>1</sup>The University of Texas at Austin, <sup>2</sup>Northwestern University, <sup>*</sup>Corresponding Author</p>

Update

***We released the training code

Fine-tuning pipeline

<p align="center"> <img src="pp_sam_fs_fine_tuning_pipeline.jpg" width=100% height=40% class="center"> </p>

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}
}