Jul 28, 2022 · This hybrid model is based on the combination of CNN and recurrent neural network (RNN) architectures. The hybrid model provides effective performance on open ...
An optical flow based feature extraction approach is leveraged to extract the temporal features, which are then fed to a hybrid model for classification, ...
In this paper, we leveraged an optical flow based feature extraction approach to extract the temporal features, which are then fed to a hybrid model for ...
To extract the temporal features, the authors leveraged an optical flow-based feature which is then fed to the model which is a combination of CNN and Recurrent ...
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features · no code implementations • 28 Jul 2022 • Pallabi Saikia, Dhwani ...
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This research introduces an innovative approach for detecting deepfake images by employing transfer learning in a hybrid architecture that combines ...
Deepfake video detection using CNN and RNN with OPTICAL FLOW features ... A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features.
... A hybrid CNN-LSTM model for video deepfake detection by leveraging optical flow features. In: 2022 International Joint Conference on Neural Networks (IJCNN) ...
The model is designed to detect various types of deepfakes, including identity swap, lip-synching, and puppet mastery. It is robust against different ...
The proliferation of deepfake technology poses significant challenges to the integrity of digital content, necessitating robust detection mechanisms.