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  # Localized Audio Visual DeepFake Dataset (LAV-DF)
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- <div align="center">
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- <img src="assets/overview.svg">
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- <p></p>
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- </div>
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-
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- <div align="center">
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- <a href="https://github.com/ControlNet/LAV-DF/issues">
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- <img src="https://img.shields.io/github/issues/ControlNet/LAV-DF?style=flat-square">
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- </a>
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- <a href="https://github.com/ControlNet/LAV-DF/network/members">
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- <img src="https://img.shields.io/github/forks/ControlNet/LAV-DF?style=flat-square">
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- </a>
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- <a href="https://github.com/ControlNet/LAV-DF/stargazers">
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- <img src="https://img.shields.io/github/stars/ControlNet/LAV-DF?style=flat-square">
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- </a>
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- <a href="https://github.com/ControlNet/LAV-DF/blob/master/LICENSE">
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- <img src="https://img.shields.io/badge/license-CC%20BY--NC%204.0-97ca00?style=flat-square">
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- </a>
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- <a href="https://arxiv.org/abs/2204.06228">
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- <img src="https://img.shields.io/badge/arXiv-2204.06228-b31b1b.svg?style=flat-square">
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- </a>
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- <a href="https://arxiv.org/abs/2305.01979">
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- <img src="https://img.shields.io/badge/arXiv-2305.01979-b31b1b.svg?style=flat-square">
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- </a>
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- <a href="https://paperswithcode.com/sota/temporal-forgery-localization-on-lav-df?p=glitch-in-the-matrix-a-large-scale-benchmark">
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- <img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/glitch-in-the-matrix-a-large-scale-benchmark/temporal-forgery-localization-on-lav-df&style=flat-square">
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- </a>
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- </div>
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  This repo is the official PyTorch implementation for the DICTA paper [Do You Really Mean That? Content Driven Audio-Visual
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  Deepfake Dataset and Multimodal Method for Temporal Forgery Localization](https://ieeexplore.ieee.org/document/10034605)
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  (Best Award), and the journal paper [_Glitch in the Matrix_: A Large Scale Benchmark for Content Driven Audio-Visual
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  Some code related to boundary matching mechanism is borrowed from
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  [JJBOY/BMN-Boundary-Matching-Network](https://github.com/JJBOY/BMN-Boundary-Matching-Network) and
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- [xxcheng0708/BSNPlusPlus-boundary-sensitive-network](https://github.com/xxcheng0708/BSNPlusPlus-boundary-sensitive-network).
 
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+ ---
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+ license: cc
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+ ---
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  # Localized Audio Visual DeepFake Dataset (LAV-DF)
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  This repo is the official PyTorch implementation for the DICTA paper [Do You Really Mean That? Content Driven Audio-Visual
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  Deepfake Dataset and Multimodal Method for Temporal Forgery Localization](https://ieeexplore.ieee.org/document/10034605)
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  (Best Award), and the journal paper [_Glitch in the Matrix_: A Large Scale Benchmark for Content Driven Audio-Visual
 
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  Some code related to boundary matching mechanism is borrowed from
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  [JJBOY/BMN-Boundary-Matching-Network](https://github.com/JJBOY/BMN-Boundary-Matching-Network) and
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+ [xxcheng0708/BSNPlusPlus-boundary-sensitive-network](https://github.com/xxcheng0708/BSNPlusPlus-boundary-sensitive-network).