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We are trying to create a machine learning model using transfer learning which will help us to distinguish between different videos to decide which video is ...
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Oct 11, 2022 · This work proposes a novel framework to detect fake videos through the utilization of transfer learning in autoencoders and a hybrid model of convolutional ...
We follow two approaches for deepfake image detection, and the first is to build a custom CNN based deep learning network to detect deepfake images.
We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is ...
This paper presents an approach, namely the transfer learning-based deep ensemble neural network designed to enhance the effectiveness of deepfake face ...
6 days ago · In this paper, we utilize the powerful combination of Deep Generative Adversarial Networks (GANs) and Transfer Learning (TL) to introduce a new ...
Jun 4, 2024 · To accurately detect deepfakes in videos, a transfer learning-based model named the Improved Xception model is suggested.
Sep 12, 2024 · The study proposes an Artificial Rabbits Optimization with Transfer Learning Deepfake Detection for Biometric Applications (AROTL-DFDBA) technique.
We will describe the method for detecting Deepfake videos and we will apply multi transfer learning approaches to classify fake and real videos. Fig. 3 ...
Oct 22, 2024 · When checking Deepfake videos, this technique received more than 87 per cent accuracy. This technique has been tested on the Face Forensics ...