mlsanityData to 7 Oct 2026

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

arXiv 2102.09471 ↗First posted 18 Feb 2021cs.CV cs.LGcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 18 of its 26 references that are in the map. First posted on arXiv 18 Feb 2021.

Builds on

18 of 26 references.

References · 18

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6 more
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Cited by year

Citing papers per year: 2021: 3; 2022: 2; 2023: 1.

6 papers.

  1. 2021Generalized Out-of-Distribution Detection: A Surveycited by 796
  2. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  3. 2023Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videoscited by 11
  4. 2022Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Reviewcited by 6
  5. 2021DFGC 2021: A DeepFake Game Competitioncited by 4
  6. 2022Robust Deepfake On Unrestricted Media: Generation And Detectioncited by 2