Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection

Yi Zhang, Weize Gao, Changtao Miao, Man Luo, Jianshu Li +8 more
12/30/2024
cs.CVcs.MM

No confident code implementation found for this paper.

Abstract

In this paper, we present the Global Multimedia Deepfake Detection held concurrently with the Inclusion 2024. Our Multimedia Deepfake Detection aims to detect automatic image and audio-video manipulations including but not limited to editing, synthesis, generation, Photoshop,etc. Our challenge has attracted 1500 teams from all over the world, with about 5000 valid result submission counts. We invite the top 20 teams to present their solutions to the challenge, from which the top 3 teams are awarded prizes in the grand finale. In this paper, we present the solutions from the top 3 teams of the two tracks, to boost the research work in the field of image and audio-video forgery detection. The methodologies developed through the challenge will contribute to the development of next-generation deepfake detection systems and we encourage participants to open source their methods.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{zhang2024inclusion,
  title  = {Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection},
  author = {Yi Zhang and Weize Gao and Changtao Miao and Man Luo and Jianshu Li and Wenzhong Deng and Zhe Li and Bingyu Hu and Weibin Yao and Yunfeng Diao and Wenbo Zhou and Tao Gong and Qi Chu},
  year   = {2024},
  eprint = {2412.20833},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.20833v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2412.20833.svg)](https://codeofpaper.com/paper/2412.20833)

Discussion