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DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

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arxiv 2102.09471 v1 pith:SDFGCYU2 submitted 2021-02-18 cs.CV cs.LG

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Liming Jiang , Zhengkui Guo , Wayne Wu , Zhaoyang Liu , Ziwei Liu , Chen Change Loy , Shuo Yang , Yuanjun Xiong
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Wei Xia Baoying Chen Peiyu Zhuang Sili Li Shen Chen Taiping Yao Shouhong Ding Jilin Li Feiyue Huang Liujuan Cao Rongrong Ji Changlei Lu Ganchao Tan
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classification cs.CV cs.LG
keywords challengedetectionfaceforgeryreal-worlddeeperforensicsmethodsresults
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This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection. The challenge employs the DeeperForensics-1.0 dataset, one of the most extensive publicly available real-world face forgery detection datasets, with 60,000 videos constituted by a total of 17.6 million frames. The model evaluation is conducted online on a high-quality hidden test set with multiple sources and diverse distortions. A total of 115 participants registered for the competition, and 25 teams made valid submissions. We will summarize the winning solutions and present some discussions on potential research directions.

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