全球1500团队参与，聚焦多模态深度伪造检测
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection
- 设立双赛道，检测图像与音视频合成篡改
- 超5000次有效提交，前三名方案获表彰
- 推动下一代伪造检测系统，鼓励开源共享
本文介绍与Inclusion 2024同期举办的全球多媒体深度伪造检测挑战赛。该挑战旨在检测包括编辑、合成、生成、Photoshop处理等在内的自动图像与音视频篡改。比赛吸引全球1500支队伍参与，累计提交约5000次有效结果。我们邀请排名前20的团队展示解决方案，其中前三名在总决赛中获奖。本文呈现两个赛道顶尖团队的检测方法，旨在推动图像与音视频伪造检测领域的研究进展。挑战中开发的方法将助力下一代深度伪造检测系统的发展，我们鼓励参赛者开源其技术方案。
原文摘要 · Abstract (English)
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.
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