Cargando…
Deepfake video detection: YOLO-Face convolution recurrent approach
Recently, the deepfake techniques for swapping faces have been spreading, allowing easy creation of hyper-realistic fake videos. Detecting the authenticity of a video has become increasingly critical because of the potential negative impact on the world. Here, a new project is introduced; You Only L...
Autores principales: | Ismail, Aya, Elpeltagy, Marwa, Zaki, Mervat, ElDahshan, Kamal A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507472/ https://www.ncbi.nlm.nih.gov/pubmed/34712799 http://dx.doi.org/10.7717/peerj-cs.730 |
Ejemplares similares
-
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
por: Ismail, Aya, et al.
Publicado: (2021) -
Deepfake attack prevention using steganography GANs
por: Noreen, Iram, et al.
Publicado: (2022) -
Deepfake tweets classification using stacked Bi-LSTM and words embedding
por: Rupapara, Vaibhav, et al.
Publicado: (2021) -
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites
por: Ferdous, Md., et al.
Publicado: (2022) -
Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images
por: Cherrat, El mehdi, et al.
Publicado: (2020)