dfdc_deepfake_challenge
A prize winning solution for DFDC challenge (by selimsef)
SeqDeepFake
[ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation (by rshaojimmy)
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dfdc_deepfake_challenge | SeqDeepFake | |
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3 | 1 | |
670 | 118 | |
- | - | |
0.0 | 5.1 | |
about 1 year ago | about 1 month ago | |
Python | Python | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dfdc_deepfake_challenge
Posts with mentions or reviews of dfdc_deepfake_challenge.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-24.
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How are deepfakes different from beauty face filters?
For example I used a scanner using this model https://github.com/selimsef/dfdc_deepfake_challenge/blob/master/README.md
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Google, Facebook and Twitter must tackle deepfakes and fake accounts, or risk EU fines up to 6% of their global turnover--not to mention healthy societies
An example of this happening is this code from two years ago. When first created, it achieved 82.56% accuracy, but only achieved around 65% accuracy with newer videos. A new paper released last month managed to achieve 99% accuracy on modern deepfakes, but it's really only a matter of months until a new deepfake algorithm is created that diminishes this substantially either using it adversarially or through a novel technique.
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Whole Dutch parliamentary of foreign affairs fooled by a deepfake zoom call of an employee of Alexei Navalny
Here's a deepfake detection github
SeqDeepFake
Posts with mentions or reviews of SeqDeepFake.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Researchers at NTU Singapore Propose Seq-DeepFake Transformer (SeqFakeFormer) for Detecting and Recovering Sequential DeepFake Manipulations
Continue reading | Checkout the paper, project and github link
What are some alternatives?
When comparing dfdc_deepfake_challenge and SeqDeepFake you can also consider the following projects:
faceswap - Deepfakes Software For All
deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
DeepFake-Detection - Towards deepfake detection that actually works
fakeVideoForensics - Detect deep fakes videos
deepfake-scanner - Deepfake Scanner by Deepware.
FaceForensics - Github of the FaceForensics dataset