% Key papers for Prompted SAM segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_image_19052,
  title = {{Image Segmentation Using Text and Image Prompts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_efficientsam_23344,
  title = {{EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30131},
}

@inproceedings{cvpr2021_learning_17308,
  title = {{Learning To Count Everything}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_sam_24683,
  title = {{SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30686},
}

@inproceedings{cvpr2020_symmetry_16309,
  title = {{Symmetry and Group in Attribute-Object Compositions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_aga_12032,
  title = {{AGA: Attribute-Guided Augmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2023_segment_68110,
  title = {{Segment Anything in High Quality}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71673},
}

@inproceedings{aaai2024_surgicalsam_7446,
  title = {{SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28514},
}

@inproceedings{cvpr2023_paco_21798,
  title = {{PACO: Parts and Attributes of Common Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22246},
}

@inproceedings{iclr2024_personalize_33677,
  title = {{Personalize Segment Anything Model with One Shot}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19398},
}

@inproceedings{cvpr2023_zero_22598,
  title = {{Zero-Shot Referring Image Segmentation With Global-Local Context Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22320},
}

@inproceedings{cvpr2024_visual_25247,
  title = {{Visual In-Context Prompting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30622},
}

@inproceedings{cvpr2024_semantic_24799,
  title = {{Semantic-aware SAM for Point-Prompted Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29420},
}

@inproceedings{cvpr2023_zbs_22589,
  title = {{ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21166},
}

@inproceedings{cvpr2024_referring_24602,
  title = {{Referring Expression Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31344},
}

@inproceedings{aaai2025_fields_9191,
  title = {{Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35034},
}

@inproceedings{iclr2024_convolution_34873,
  title = {{Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18201},
}

@inproceedings{cvpr2024_sanerf_24684,
  title = {{SANeRF-HQ: Segment Anything for NeRF in High Quality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31356},
}

@inproceedings{neurips2024_bridge_73528,
  title = {{Bridge the Points: Graph-based Few-shot Segment Anything Semantically}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93949},
}

@inproceedings{aaai2025_sam_10590,
  title = {{SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32695},
}

@inproceedings{cvpr2025_lesionlocator_26768,
  title = {{LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34930},
}

@inproceedings{cvpr2025_entitysam_26150,
  title = {{EntitySAM: Segment Everything in Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32400},
}

@inproceedings{neurips2025_resanything_75242,
  title = {{RESAnything: Attribute Prompting for Arbitrary Referring Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5l8GydIsby},
}

@inproceedings{aaai2026_tuning_101208,
  title = {{Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37509},
}

@inproceedings{icml2025_unlocking_47419,
  title = {{Unlocking the Power of SAM 2 for Few-Shot Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45174},
}

@inproceedings{icml2026_supervise_54592,
  title = {{Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=qYfNhYenuu},
}

@inproceedings{neurips2025_cancer_75755,
  title = {{Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=BkSRQ1y37l},
}

@inproceedings{neurips2026_prompting_93403,
  title = {{Prompting Diffusion Models for Zero-Shot Instance Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155729},
}