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

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

7 October 2021
Gaojian Wang
Qian Jiang
Xin Jin
Wei Li
Xiaohui Cui
    CVBM
ArXivPDFHTML

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
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
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
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
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
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
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