  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.
