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Thanks for the great work, how is the cross domain for forgery detection done? I found many papers trained on ff++ and tested on cdf and dfdc, how is this achieved? Is it 720 videos selected from each of the four subsets of ff++? I know how the separate subsets are trained, but I don't know how to aggregate them, looking forward to your reply, thanks.
I do not find paper called Detecting and Grounding Multi-Modal Media Manipulation and Hierarchical Fine-Grained Image Forgery Detection and Localization in https://openaccess.thecvf.com/CVPR2023. Could you check it again?
Could you please list some of the papers and open source projects that currently have the best results in deepfake detection in this project? This will be of great help to my study.
Hello Daisy, Awesome work on this repo. may i request one thing can you add formal definition of the sections(generalization, Interpretability etc). So it's easier to understand the sections more.
I noticed "Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data", ICCV 2021" was mentioned twice in the ICCV paper list. I think one can be removed.