ForgeryNet
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yinanhe
Exact dataset labels
Thank you for releasing the dataset, it is really valuable for deepfake researches. Could you release the labels of testset and the exact manipulation methods of 16cls_labels?
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN
The label of test set will be public soon.
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN
The label of test set will be public soon.
Hi, where can i find the label of test set? Have them already been released?
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN
The label of test set will be public soon.
What are labels of 16~19？
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN The label of test set will be public soon.
What are labels of 16~19？
real image
You mentioned four real sources in the paper. Actually, I would like to know which source each number corresponds to. Thx!
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN
The label of test set will be public soon.
In third row in the file 'image_list.txt': train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15 The 16cls_label '15' is different from category '7'. So I should use which one to determine corresponding method? thx~
1: FaceShifter 2: FS-GAN 3: DeepFakes 4: BlendFace 5: MMReplacement 6: DeepFakes-StarGAN-Stack 7: Talking Head Video 8: ATVG-Net 9: StarGAN-BlendFace-Stack 10: First Order Motion 11: StyleGAN2 12: MaskGAN 13: StarGAN2 14: SC-FEGAN 15: DiscoFaceGAN The label of test set will be public soon.
In third row in the file 'image_list.txt': train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15 The 16cls_label '15' is different from category '7'. So I should use which one to determine corresponding method? thx~
7
Allow me to confirm the above conclusions.
-
train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15for example- 7
- the subdirectory number == the method index? 🤔
- 15
- What do the n-way numbers in
image_list.txtmean? Can this be ignored?🤔
- What do the n-way numbers in
- 7
Counting results for subdirectory numbers and labels in the image_list.txt
Is this relationship between sub-dir and method correct? 🤔
sub-dir two-way three-way n-way count method
1 1 2 8 99687 FaceShifter
2 1 1 7 199993 FS-GAN
3 1 2 3 100000 DeepFakes
4 1 2 2 100000 BlendFace
5 1 2 1 100000 MMReplacement
6 1 2 4 100000 DeepFakes-StarGAN-Stack
7 1 1 15 21570 Talking Head Video < train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15
8 1 1 10 96880 ATVG-Net
9 1 1 12 53947 StarGAN-BlendFace-Stack
10 1 1 14 29467 First Order Motion
11 1 1 13 29570 StyleGAN2
12 1 2 9 14785 MaskGAN
13 1 2 6 99949 StarGAN2
14 1 1 11 58444 SC-FEGAN
15 1 2 5 88089 DiscoFaceGAN
16 0 0 0 57047 RAVDESS
17 0 0 0 73736 CREMA-D
18 0 0 0 553264 AVSpeech
19 0 0 0 474877 VoxCeleb2
Allow me to confirm the above conclusions.
train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15for example
7
- the subdirectory number == the method index? 🤔
15
- What do the n-way numbers in
image_list.txtmean? Can this be ignored?🤔Counting results for subdirectory numbers and labels in the
image_list.txtIs this relationship between sub-dir and method correct? 🤔
sub-dir two-way three-way n-way count method 1 1 2 8 99687 FaceShifter 2 1 1 7 199993 FS-GAN 3 1 2 3 100000 DeepFakes 4 1 2 2 100000 BlendFace 5 1 2 1 100000 MMReplacement 6 1 2 4 100000 DeepFakes-StarGAN-Stack 7 1 1 15 21570 Talking Head Video < train_release/7/2ac43aa43bf473f9a9c09b4b608619d3/b039e05887ddaad1a72964d5d1ab88d3/frame00038.jpg 1 1 15 8 1 1 10 96880 ATVG-Net 9 1 1 12 53947 StarGAN-BlendFace-Stack 10 1 1 14 29467 First Order Motion 11 1 1 13 29570 StyleGAN2 12 1 2 9 14785 MaskGAN 13 1 2 6 99949 StarGAN2 14 1 1 11 58444 SC-FEGAN 15 1 2 5 88089 DiscoFaceGAN 16 0 0 0 57047 RAVDESS 17 0 0 0 73736 CREMA-D 18 0 0 0 553264 AVSpeech 19 0 0 0 474877 VoxCeleb2
@YoshihikoFuruhashi Hello, could you tell me the difference between n-way and sub-dir
@Damon-Salvatore-liu
- sub-dir: The directory where the image data is stored.
- n-way: The label number of the method.
Use sub-dir == n-way, and ignore image_list.txt as it contains errors.
@yinanhe Is this correct?