davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

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Emerging

This project helps quickly identify "deepfake" videos by analyzing facial cues frame by frame. You input a collection of videos, and it tells you which ones are likely manipulated. This tool is for professionals in media forensics, journalism, or legal fields who need to verify video authenticity.

266 stars. No commits in the last 6 months.

Use this if you need to programmatically detect deepfakes in a large collection of videos, especially for investigative or verification purposes.

Not ideal if you're looking for a user-friendly, drag-and-drop deepfake detection app rather than a command-line tool requiring some technical setup.

media-forensics video-verification fake-news-detection content-authenticity digital-trust
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

266

Forks

70

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 07, 2022

Commits (30d)

0

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