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Improving Model's Focus Improves Performance of Deep Learning-Based
  Synthetic Face Detectors

Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors

1 March 2023
Jacob Piland
A. Czajka
Christopher Sweet
    AAML
    CVBM
ArXivPDFHTML

Papers citing "Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors"

19 / 19 papers shown
Title
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic
  Irises
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic Irises
Patrick J. Tinsley
A. Czajka
Patrick Flynn
GAN
75
8
0
03 Nov 2022
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
Aidan Boyd
Patrick J. Tinsley
Kevin W. Bowyer
A. Czajka
CVBM
50
38
0
01 Dec 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
167
1,595
0
23 Jun 2021
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in
  Generative Models
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models
Patrick J. Tinsley
A. Czajka
Patrick Flynn
CVBM
GAN
76
41
0
10 Dec 2020
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs
  Computer Vision
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
S. Mandelli
Nicolo Bonettini
Paolo Bestagini
Stefano Tubaro
34
39
0
25 Sep 2020
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware
  Clues
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
Yuyang Qian
Guojun Yin
Lu Sheng
Zixuan Chen
Jing Shao
CVBM
106
688
0
18 Jul 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
131
1,882
0
11 Jun 2020
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
137
978
0
23 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
264
5,808
0
03 Dec 2019
Measuring Human Perception to Improve Handwritten Document Transcription
Measuring Human Perception to Improve Handwritten Document Transcription
Samuel Grieggs
Bingyu Shen
Cana Short
Pei Li
Jiaqi Ma
Mihow McKenny
Brian L. Price
Walter J. Scheirer
40
19
0
07 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
539
10,551
0
12 Dec 2018
Domain-Specific Human-Inspired Binarized Statistical Image Features for
  Iris Recognition
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
A. Czajka
Daniel Moreira
Kevin W. Bowyer
Patrick Flynn
CVBM
35
42
0
13 Jul 2018
Performance of Humans in Iris Recognition: The Impact of Iris Condition
  and Annotation-driven Verification
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification
Daniel Moreira
Mateusz Trokielewicz
A. Czajka
Kevin W. Bowyer
Patrick Flynn
CVBM
32
14
0
13 Jul 2018
Visual Psychophysics for Making Face Recognition Algorithms More
  Explainable
Visual Psychophysics for Making Face Recognition Algorithms More Explainable
Brandon RichardWebster
So Yon Kwon
Christopher Clarizio
Samuel E. Anthony
Walter J. Scheirer
CVBM
44
41
0
19 Mar 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
123
3,553
0
24 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
123
7,351
0
27 Oct 2017
SREFI: Synthesis of Realistic Example Face Images
SREFI: Synthesis of Realistic Example Face Images
Sandipan Banerjee
John S. Bernhard
Walter J. Scheirer
Kevin W. Bowyer
Patrick Flynn
CVBM
31
29
0
21 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
760
36,781
0
25 Aug 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
247
9,305
0
14 Dec 2015
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