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README.md
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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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<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).
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