ForgeryNet
ForgeryNet copied to clipboard
[CVPR 2021 Oral] ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
Hi, Thanks for this excellent dataset. I would like to know how we should unzip the dataset? For the training set we get 5 files named as Training.tar.0 ... Training.tar.4....
Hello! You provided the weights for XceptionNet working on images. Can you please make public also the weights of SlowFast and X3D-M trained on the videos? Thank you!
Hi, we can open ForgeryNet in Chrome browser:https://drive.google.com/drive/folders/1gViqLc4l9sT1WTB-_hlcDUCWYskT2_LE, but I cannot download with gdrive tool, it shows ERROR as following: Failed to get file: googleapi: Error 404: File not found:...
Hi, thank you for your excellent work. How to get the original dataset corresponding to each real face, such as VoxCeleb2 and AVSpeech?
Do you use pixel difference? I'm curious and looking forward to a reply~
Although there are videos in the training set manipulated by methods 2 and 8, these are not reported in the video_list.txt. I have added them by generating them within a...
发现训练集的伪造数据中,video_list中没有对文件夹2中伪造视频的相关标签。是没有对该文件夹中伪造视频的伪造片段进行标注吗?
16-19这四个真实视频文件夹是不是代表着所选取的四个源数据集,CREMA-D,RAVDESS,VoxCeleb,AVSpeech