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Results for “"Selim Seferbekov"”

2 results

Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation

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Sowmen Das, Selim Seferbekov, Arup Datta, Md. Saiful Islam et al.

Year: 2021Citations: 98

In this paper, we focus on identifying the limitations and shortcomings of existing deepfake detection frameworks. We identified some key problems surrounding deepfake detection through quantitative and qualitative analysis of existing methods and datasets. We found that deepfake datasets are highly...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation

Verified

Sowmen Das, Selim Seferbekov, Arup Datta, Md. Saiful Islam et al.

Journal: arXiv (Cornell University)Year: 2021

The creation of altered and manipulated faces has become more common due to the improvement of DeepFake generation methods. Simultaneously, we have seen detection models' development for differentiating between a manipulated and original face from image or video content. In this paper, we focus on i...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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