Publication | Open Access
Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN)
38
Citations
2
References
2020
Year
Convolutional Neural NetworkEngineeringMachine LearningVideo InterpretationPublic DatasetsImage AnalysisAgainst DeepfakeData SciencePattern RecognitionSparse Neural NetworkRobot LearningVideo TransformerMachine VisionFeature LearningComputer ScienceVideo UnderstandingDeep LearningComputer VisionNovel PatchDeepfake Videos
In this paper, we propose a novel Patch&Pair Convolutional Neural Networks (PPCNN) to distinguish Deepfake videos or images from real ones. Through the comprehensive evaluations on public datasets, we demonstrate that our model performs better than existing detection methods and show better generalization.
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