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.
@article{arxiv.2207.13505,
title = {Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection},
author = {Jianshu Li and Man Luo and Jian Liu and Tao Chen and Chengjie Wang and Ziwei Liu and Shuo Liu and Kewei Yang and Xuning Shao and Kang Chen and Boyuan Liu and Mingyu Guo and Ying Guo and Yingying Ao and Pengfei Gao},
journal= {arXiv preprint arXiv:2207.13505},
year = {2022}
}
Comments
Workshop and challenge summary paper, containing technical reports from different teams