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Exploiting Facial Relationships and Feature Aggregation for Multi-Face
  Forgery Detection

Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
7 October 2023
Chenhao Lin
Fangbin Yi
Hang Wang
Qian Li
Jingyi Deng
Chao Shen
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection"

3 / 3 papers shown
DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
Saksham Kumar
Ashish Singh
Srinivasarao Thota
Sunil Kumar Singh
Chandan Kumar
73
0
0
15 Nov 2025
Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images
Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images
Sami Belguesmia
Mohand Saïd Allili
Assia Hamadene
CVBM
130
0
0
17 Oct 2025
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.0K
16,604
0
07 Oct 2016
1