dfdc_deepfake_challenge
A prize winning solution for DFDC challenge (by selimsef)
FaceForensics
Github of the FaceForensics dataset (by ondyari)
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dfdc_deepfake_challenge | FaceForensics | |
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3 | 3 | |
670 | 2,201 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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
FaceForensics
Posts with mentions or reviews of FaceForensics.
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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Need help for choosing research topic!
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces, 2018
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A question on deferred neural rendering.
Code for https://arxiv.org/abs/1904.12356 found: https://github.com/ondyari/FaceForensics
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Whole Dutch parliamentary of foreign affairs fooled by a deepfake zoom call of an employee of Alexei Navalny
Here's another deepfake detection github
What are some alternatives?
When comparing dfdc_deepfake_challenge and FaceForensics you can also consider the following projects:
faceswap - Deepfakes Software For All
DeepFake-Detection - Towards deepfake detection that actually works
deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
deepfake-scanner - Deepfake Scanner by Deepware.
SeqDeepFake - [ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation