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  # AuralSAM2
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- > **[CVPRF'26]** [AuralSAM2: Enabling SAM2 Hear
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- Through Pyramid Audio-Visual Feature Prompting](#)
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- >
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- > by Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian and Gustavo Carneiro
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- >
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- <img src="./docs/overview.png" width="850" height="300" />
 
 
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  ## Installation
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- please install the dependencies and dataset based on this [***installation***](./docs/installation.md) document.
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- ## Getting start
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- please follow this [***instruction***](./docs/before_start.md) document to reproduce our results.
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  ## Citation
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- please consider citing our work in your publications if it helps your research.
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  ```bibtex
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  @article{liu2025auralsam2,
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  title={AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting},
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- author={Liu, Yuyuan and Chen, Yuanhong and Wang, Chong and Han, Junlin and Wu, Junde and Peng, Can and Chen, Jingkun and Tian, Yu and Carneiro, Gustavo},
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  journal={arXiv preprint arXiv:2506.01015},
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  year={2025}
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  }
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- ```
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-
 
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+ ---
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+ pipeline_tag: image-segmentation
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+ ---
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+
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  # AuralSAM2
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+
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+ This repository contains the weights for **AuralSAM2**, as presented in the paper [AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting](https://huggingface.co/papers/2506.01015).
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+
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+ AuralSAM2 integrates audio into the Segment Anything Model 2 (SAM2) while preserving its promptable segmentation capability. It introduces the **AuralFuser** module, which fuses audio and visual features to generate sparse and dense prompts. These prompts propagate auditory cues across SAM2's feature pyramid, enabling audio-guided object segmentation.
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+ [**Paper**](https://huggingface.co/papers/2506.01015) | [**GitHub Code**](https://github.com/yyliu01/AuralSAM2)
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+
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+ <img src="./docs/overview.png" width="850" alt="AuralSAM2 overview" />
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  ## Installation
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+ Please install the dependencies and dataset based on the [***installation***](./docs/installation.md) document in the official repository.
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+ ## Getting started
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+ Please follow the [***instruction***](./docs/before_start.md) document to reproduce the results.
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  ## Citation
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+ If you find this work helpful for your research, please consider citing:
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  ```bibtex
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  @article{liu2025auralsam2,
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  title={AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting},
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+ author={Liu, Yuyuan and Chen, Yuanhong and Wang, Chong and Han, Junlin and Wu, Junde and Peng, Can and Jingkun Chen and Yu Tian and Gustavo Carneiro},
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  journal={arXiv preprint arXiv:2506.01015},
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  year={2025}
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  }
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+ ```