M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

20 April 2021

Zuxuan Wu

Ser-Nam Lim

Papers citing "M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection"

5 / 5 papers shown

Title
Active Light Modulation to Counter Manipulation of Speech Visual Content Hadleigh Schwartz Xiaofeng Yan Charles J. Carver Xia Zhou 36 0 0 30 Apr 2025
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection Yaning Zhang Tianyi Wang Zitong Yu Zan Gao Linlin Shen Shengyong Chen DiffM 33 3 0 15 Sep 2024
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection Bojia Zi Minghao Chang Jingjing Chen Xingjun Ma Yu-Gang Jiang CVBM 48 275 0 05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 104 815 0 27 Sep 2019
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection D. Cozzolino Giovanni Poggi L. Verdoliva 78 300 0 14 Mar 2017