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Discovering Transferable Forensic Features for CNN-generated Images
  Detection

Discovering Transferable Forensic Features for CNN-generated Images Detection

24 August 2022
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-man Cheung
    AAML
ArXivPDFHTML

Papers citing "Discovering Transferable Forensic Features for CNN-generated Images Detection"

5 / 5 papers shown
Title
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
Haiwei Wu
Jiantao Zhou
Shile Zhang
110
27
0
23 May 2023
Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-man Cheung
78
41
0
29 Jun 2022
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
175
59
0
09 Dec 2020
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1