About this document
Deepfake Detection via CNN-RNN Model by Razan Gaihre is a document available to read on EtoBox.
This document discusses deepfake detection methods using automatic face weighting. It introduces a method using CNNs and RNNs to extract visual and temporal features from faces to detect manipulations. The method is evaluated on the Deepfake Detection Challenge dataset and achieves competitive results among top 6% of submissions. Deepfakes are increasingly present online and advanced tools enable highly realistic altered videos, posing challenges for detection. The proposed method aims to address these chal
- Author
- Razan Gaihre
- Language
- EN