Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
This addresses the need for robust forgery detection in unconstrained settings, though it is incremental as it builds on existing challenge formats.
The paper presents the Multi-Forgery Detection Challenge 2022, which tackled the problem of detecting diverse image manipulations like editing and synthesis, attracting 674 teams and about 2000 submissions, with top solutions analyzed to advance research.
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.