DFSpot-Deepfake-Recognition
AdaTime
| DFSpot-Deepfake-Recognition | AdaTime | |
|---|---|---|
| 9 | 2 | |
| 89 | 149 | |
| - | - | |
| 0.0 | 6.6 | |
| over 1 year ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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DFSpot-Deepfake-Recognition
-
Detection of DeepFakes
The code for the paper can be found at: https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition
- DeepFake Detection
-
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
AdaTime
-
[R] A benchmarking framework for time-series unsupervised domain adaptation
Code for https://arxiv.org/abs/2203.08321 found: https://github.com/emadeldeen24/AdaTime
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