MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection

7 October 2021

Papers citing "MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection"

5 / 5 papers shown

Title
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,592 0 04 May 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 102 254 0 20 Apr 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu Xiaodan Li Wenbo Zhou YueFeng Chen Yuan He Hui Xue Weiming Zhang Nenghai Yu CVBM 157 357 0 02 Mar 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 135 1,037 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 101 324 0 14 Mar 2017