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license:
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language:
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- en
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pipeline_tag:
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---
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# LLaVA-Deepfake Model Card
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## Model details
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**Model type:**
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Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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license: mit
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language:
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- en
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pipeline_tag: visual-question-answering
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metrics:
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- accuracy
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- bleu
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- rouge
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base_model:
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- meta-llama/Llama-2-7b-hf
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## Model details
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**Model type:** M2F2-Det is a deepfake (i.e., forged facial image) detection model, which produces both fake score and explanations. The model is trained on
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[FaceForensics++](https://github.com/ondyari/FaceForensics) and [Deepfake Detection VQA](https://arxiv.org/pdf/2402.00126).
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**Model date:** This preliminary version has been trained in January 2025. More updates can be expected.
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**Project page:** https://github.com/CHELSEA234/M2F2_Det
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**Paper:** [Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector](https://huggingface.co/papers/2410.02761) CVPR2025 **Oral** presentation.
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**Where to send questions or comments about the model:**
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Please feel free to contact Xiao Guo ([email protected]) with any questions or to post an issue on our code base.
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[https://github.com/zhipeixu/FakeShield/issues](https://github.com/zhipeixu/FakeShield/issues)
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