mlsanityData to 13 Oct 2026

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

arXiv 2207.13505 ↗First posted 27 Jul 2022cs.CVcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 30 of its 41 references that are in the map. First posted on arXiv 27 Jul 2022.

Builds on

30 of 41 references.

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Citing papers per year: 2025: 1.

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  1. 2025MFFI: Multi-Dimensional Face Forgery Image Dataset for Real-World Scenarioscited by 3