Exploring Self-Supervised Vision Transformers for Deepfake Detection: A
Comparative Analysis

Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis

1 May 2024

Junichi Yamagishi

Isao Echizen

Papers citing "Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis"

8 / 8 papers shown

Title
Deep Convolutional Pooling Transformer for Deepfake Detection Tianyi Wang Harry Cheng Kam-pui Chow Liqiang Nie ViT 16 65 0 12 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection Junke Wang Zuxuan Wu Wenhao Ouyang Xintong Han Jingjing Chen Ser-Nam Lim Yu-Gang Jiang ViT 100 178 0 20 Apr 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 124 1,018 0 27 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 206 1,954 0 14 Jun 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 190 14,190 0 07 Oct 2016