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README.md
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# AuralSAM2
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Through Pyramid Audio-Visual Feature Prompting](
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## Installation
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## Getting
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## Citation
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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
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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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pipeline_tag: image-segmentation
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---
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# AuralSAM2
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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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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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<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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```
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