论文标题
多手术检测挑战2022：推动无约束和多样化检测的前沿
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
论文作者
论文摘要
在本文中，我们介绍了在CVPR 2022上与IEEE计算机社会生物识别技术研讨会同时举办的多项式检测挑战。我们的多手术检测挑战挑战旨在检测自动图像操作，但不限于图像编辑，图像编辑，图像合成，Image Photoment，Image Photoshop，Image Photoshop等。我们的674团队都在所有的范围内录制了所有效果。我们邀请了前十支球队提出他们的解决方案，以应对挑战，三支球队在大结局中获得奖品。在本文中，我们介绍了前三名团队的解决方案，以增强图像伪造检测领域的研究工作。
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.
