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README.md
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Out-of-domain evaluation set used in the paper
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**[When Vision Speaks for Sound](https://arxiv.org/abs/2605.16403)**.
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Derived from [VGGSoundSync](https://www.robots.ox.ac.uk/~vgg/research/
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this 3,000-clip slice tests whether a video-capable MLLM can detect
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audio temporal offsets on **everyday sound events** outside the THUD
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in-domain training distribution.
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Please also cite the original VGGSoundSync work:
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```bibtex
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@
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title
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author
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year = {2021}
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}
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```
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## Related releases
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Out-of-domain evaluation set used in the paper
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**[When Vision Speaks for Sound](https://arxiv.org/abs/2605.16403)**.
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Derived from [VGGSoundSync](https://www.robots.ox.ac.uk/~vgg/research/avs/),
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this 3,000-clip slice tests whether a video-capable MLLM can detect
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audio temporal offsets on **everyday sound events** outside the THUD
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in-domain training distribution.
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Please also cite the original VGGSoundSync work:
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```bibtex
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@InProceedings{Chen21b,
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title = "Audio-Visual Synchronization in the Wild",
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author = "Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman",
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booktitle = "BMVC",
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year = "2021"}
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```
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## Related releases
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