pyc2pa
DFSpot-Deepfake-Recognition
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| pyc2pa | DFSpot-Deepfake-Recognition | |
|---|---|---|
| 2 | 9 | |
| 31 | 89 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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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.
pyc2pa
-
PyC2PA (our Python Implementation of Content Authenticity Initiative based on C2PA Spec
pyc2pa GitHub: https://github.com/numbersprotocol/pyc2pa
- Implementation of Content Auth Initiative Following C2PA Specs
DFSpot-Deepfake-Recognition
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Detection of DeepFakes
The code for the paper can be found at: https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition
- DeepFake Detection
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Exposing DeepFakes Using Siamese Training
Code for the paper: https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition
Demo link is available in the Readme of the repository
Results have been obtained on datasets: DFDC, FF++ & CelebDF (V2)
- Detecting DeepFake Videos
- Detect fake videos using deep learning
- DFSpot-Deepfake-Recognition: Determine whether a given video sequence has been manipulated or synthetically generated.
- DeepFake detection using Ensemble Learning
- DFSpot-Deepfake-Recognition: Determine whether a given video sequence has been manipulated or synthetically generated
- DeepFake detection using ensemble and siamese learning
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