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Published
20 hours ago •
lajlksdf
lajlksdf
Fake videos detection by tracing the source using video hashing retrieval.
ViTHash
📜 Directory
- Introduction
- ViTHash
-
Train or Test
- Train
- Test
-
Downloads
- Download Models and Datasets
- DeepFake Dataset Samples
- Video Inpainting Dataset Samples
- Video Splicing Dataset Samples
✨ Introduction
An effective and reliable method for forgery video detection.
👀️ViTHash
🔬 Train or Test
Train
Train ViTHash
python train_h.py --local_rank=0 --path=../Celeb-DF --type=Celeb-DF --hash_bits=512 --pretrained=x
Test
Test ViTHash
python test_h.py --local_rank=0 --path=../Celeb-DF --type=Celeb-DF --hash_bits=512 --pretrained=x
🚀️ Downloads
Download Models and Datasets
Pretrained models, hash centers and datasets
| Item | Link | Comments |
|---|---|---|
| All Models | BaiduNetdisk | code：i5l1 |
| Video Splicing | BaiduNetdisk | code: a9in |
| DeepFake | BaiduNetdisk | code: eaj0 |
| Video Inpainting | BaiduNetdisk | code: ande Extension ofDAVIS2016 |
DeepFake Dataset Samples
The person with different scenes.
Source Videos
Fake Videos
Different fake videos are made from the same source.
Source Video
Fake Videos
Video Inpainting Dataset Samples
The first gif of the boat is the original video, and the remaining five videos are generated by different object inpainting methods.
Video Splicing Dataset Samples
The bird, person, soldier and planes are all spliced by manual.
Tips
We have developed an additional tool to compare the difference between real video and fake video. Please see tool
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