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When Handcrafted Features and Deep Features Meet Mismatched Training and
  Test Sets for Deepfake Detection

When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection

27 September 2022
Ying Xu
Sule YAYILGAN YILDIRIM
ArXivPDFHTML

Papers citing "When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection"

2 / 2 papers shown
Title
Recasting Residual-based Local Descriptors as Convolutional Neural
  Networks: an Application to Image Forgery Detection
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
D. Cozzolino
Giovanni Poggi
L. Verdoliva
101
324
0
14 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
248
14,387
0
07 Oct 2016
1