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Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection

Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection

21 February 2023
Chu Zhou
Jiajun Huang
Daochang Liu
Chengbin Du
Siqi Ma
Surya Nepal
Chang Xu
ArXivPDFHTML

Papers citing "Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection"

5 / 5 papers shown
Title
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in
  Frequency Domain
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Honggu Liu
Xiaodan Li
Wenbo Zhou
YueFeng Chen
Yuan He
Hui Xue
Weiming Zhang
Nenghai Yu
CVBM
157
357
0
02 Mar 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
Bojia Zi
Minghao Chang
Jingjing Chen
Xingjun Ma
Yu-Gang Jiang
CVBM
80
370
0
05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li
Xin Yang
Pu Sun
H. Qi
Siwei Lyu
135
1,037
0
27 Sep 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
262
10,320
0
12 Dec 2018
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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