In this paper, we present the Multi-Forgery Detection Challenge held concurrently with the IEEE Computer Society Workshop on Biometrics at CVPR 2022. Our Multi-Forgery Detection Challenge aims to detect automatic image manipulations including but not limited to image editing, image synthesis, image generation, image photoshop, etc. Our challenge has attracted 674 teams from all over the world, with about 2000 valid result submission counts. We invited the Top 10 teams to present their solutions to the challenge, from which three teams are awarded prizes in the grand finale. In this paper, we present the solutions from the Top 3 teams, in order to boost the research work in the field of image forgery detection.
翻译：在本文中,我们介绍了与2022年欧洲电子工程研究所计算机学会生物计量问题研讨会同时举行的多种伪造检测挑战。我们多伪造检测挑战的目的是检测自动图像操纵,包括但不限于图像编辑、图像合成、图像生成、图像摄影店等。我们的挑战吸引了来自世界各地的674个团队,大约2000年提交了有效结果。我们请前十大团队提出应对挑战的解决方案,其中三个团队在决赛中获得了奖项。我们在本文件中介绍了前三大团队的解决方案,以促进图像伪造检测领域的研究工作。
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