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VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and
  Forensic Traces

VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces

28 November 2022
T. D. Nguyen
Shengbang Fang
Matthew C. Stamm
ArXivPDFHTML

Papers citing "VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces"

4 / 4 papers shown
Title
MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidence
MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidence
Tai D. Nguyen
Matthew C. Stamm
53
0
0
26 Mar 2025
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,304
0
07 Oct 2016
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