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Extracting deep local features to detect manipulated images of human
  faces

Extracting deep local features to detect manipulated images of human faces

29 November 2019
Michail Tarasiou
S. Zafeiriou
    3DH
    AAML
    CVBM
ArXivPDFHTML

Papers citing "Extracting deep local features to detect manipulated images of human faces"

4 / 4 papers shown
Title
Deepfake Detection for Facial Images with Facemasks
D. Ko
Sangjun Lee
Jin-Yeol Park
Saebyeol Shin
Do-Soon Hong
Simon S. Woo
CVBM
35
7
0
23 Feb 2022
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine
  Learning
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
S. Zobaed
Md Fazle Rabby
Md Istiaq Hossain
Ekram Hossain
Sazib Hasan
Asif Karim
Khan Md. Hasib
AAML
46
14
0
07 Sep 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
132
0
27 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
309
10,391
0
12 Dec 2018
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