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.

翻译：本文介绍了与2024 Inclusion大会同期举办的全球多媒体深度伪造检测挑战赛。我们的多媒体深度伪造检测旨在识别包括但不限于编辑、合成、生成、Photoshop等自动化的图像与音视频篡改。本次挑战赛吸引了全球1500支团队参与，收到约5000份有效结果提交。我们邀请前20名团队展示其解决方案，其中前三名团队在总决赛中获得奖项。本文呈现了两个赛道前三名团队的解决方案，以推动图像与音视频伪造检测领域的研究工作。通过本次挑战赛开发的方法论将促进下一代深度伪造检测系统的发展，我们鼓励参赛者开源其方法。