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Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method
  with Forgery Style Mixture

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture

23 August 2024
Chenqi Kong
Anwei Luo
Peijun Bao
Haoliang Li
Renjie Wan
Zengwei Zheng
Anderson de Rezende Rocha
Alex C. Kot
    AAML
ArXivPDFHTML

Papers citing "Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture"

6 / 6 papers shown
Title
Enhancing General Face Forgery Detection via Vision Transformer with
  Low-Rank Adaptation
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation
Chen Kong
Haoliang Li
Shiqi Wang
ViT
CVBM
37
15
0
02 Mar 2023
Learning Second Order Local Anomaly for General Face Forgery Detection
Learning Second Order Local Anomaly for General Face Forgery Detection
Jianwei Fei
Yunshu Dai
Peipeng Yu
Tianrun Shen
Zhihua Xia
Jian Weng
CVBM
71
51
0
30 Sep 2022
Digital and Physical Face Attacks: Reviewing and One Step Further
Digital and Physical Face Attacks: Reviewing and One Step Further
Chen Kong
Shiqi Wang
Haoliang Li
AAML
53
23
0
29 Sep 2022
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
Junke Wang
Zuxuan Wu
Wenhao Ouyang
Xintong Han
Jingjing Chen
Ser-Nam Lim
Yu-Gang Jiang
ViT
100
254
0
20 Apr 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
127
1,018
0
27 Sep 2019
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
1