Multimodal Face Tampering Recognition Based on Deep Learning
Deepfake technology is a deep learning based image and audio video synthesis technique.It uses deep neural networks to generate highly realistic fictional content,especially in the area of facial tampering,which has had a negative impact on daily life.With the development of deep learning,traditional convolutional neural networks are difficult to accurately recognize current facial tampering behavior.To address this challenge,a multimodal facial tamper recognition method has been proposed,which innovatively combines frequency domain processing,error level analysis,and semantic information for detection.After experimental testing on the FaceForensics++dataset,the results show that the accuracy of this method is as high as 83.10%,making it an effective face tamper detection method.
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