论文标题
DFGC 2022：第二次DeepFake游戏比赛
DFGC 2022: The Second DeepFake Game Competition
论文作者
论文摘要
本文介绍了我们DFGC 2022竞赛的摘要报告。深层速度正在迅速发展，现实的面部饰带变得越来越欺骗性和难以检测。相反，检测深击的方法也正在改善。 Deepfake的创作者和防守者之间有一场两党游戏。这项竞赛提供了一个常见的平台，用于基准在DeepFake创建和检测方法中当前最新技术之间的游戏。这场比赛要回答的主要研究问题是彼此竞争时两个对手的现状。这是去年DFGC 2021之后的第二版，具有新的，更多样化的视频数据集，更现实的游戏设置以及更合理的评估指标。通过这项竞争，我们旨在激发研究思想，以建立针对深层威胁的更好的防御能力。我们还发布了我们的参与者和我们自己的DFGC 2022数据集，以丰富研究社区的DeepFake数据资源（https://github.com/nice-x/dfgc-2022）。
This paper presents the summary report on our DFGC 2022 competition. The DeepFake is rapidly evolving, and realistic face-swaps are becoming more deceptive and difficult to detect. On the contrary, methods for detecting DeepFakes are also improving. There is a two-party game between DeepFake creators and defenders. This competition provides a common platform for benchmarking the game between the current state-of-the-arts in DeepFake creation and detection methods. The main research question to be answered by this competition is the current state of the two adversaries when competed with each other. This is the second edition after the last year's DFGC 2021, with a new, more diverse video dataset, a more realistic game setting, and more reasonable evaluation metrics. With this competition, we aim to stimulate research ideas for building better defenses against the DeepFake threats. We also release our DFGC 2022 dataset contributed by both our participants and ourselves to enrich the DeepFake data resources for the research community (https://github.com/NiCE-X/DFGC-2022).
