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Beyond the Prior Forgery Knowledge: Mining Critical Clues for General
  Face Forgery Detection

Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection

24 April 2023
Anwei Luo
Chen Kong
Jiwu Huang
Yongjian Hu
Xiangui Kang
Alex C. Kot
    AAML
ArXivPDFHTML

Papers citing "Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection"

19 / 19 papers shown
Title
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
Junyan Wu
Wenbo Xu
Wei Lu
Xiangyang Luo
Rui Yang
Shize Guo
32
0
0
03 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
59
0
0
12 Mar 2025
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
Xinjie Cui
Y. Li
Ao Luo
Jiaran Zhou
Junyu Dong
96
4
0
29 Nov 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
102
0
0
26 Nov 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Mian Zou
Baosheng Yu
Yibing Zhan
Siwei Lyu
Kede Ma
CVBM
45
2
0
14 May 2024
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
Block shuffling learning for Deepfake Detection
Block shuffling learning for Deepfake Detection
Sitong Liu
Z. Lian
Siqi Gu
Liang Xiao
AAML
18
8
0
06 Feb 2022
Learning Meta Pattern for Face Anti-Spoofing
Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai
Zhi Li
Renjie Wan
Haoliang Li
Yongjian Hu
Alex C. Kot
CVBM
45
63
0
13 Oct 2021
Detect and Locate: Exposing Face Manipulation by Semantic- and
  Noise-level Telltales
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
Chen Kong
Baoliang Chen
Haoliang Li
Shiqi Wang
Anderson de Rezende Rocha
Sam Kwong
CVBM
43
60
0
13 Jul 2021
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
148
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
365
0
05 Jan 2021
Detecting Deepfakes with Metric Learning
Detecting Deepfakes with Metric Learning
Akash Kumar
Arnav V. Bhavsar
42
71
0
19 Mar 2020
Searching Central Difference Convolutional Networks for Face
  Anti-Spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Zitong Yu
Chenxu Zhao
Zezheng Wang
Yunxiao Qin
Z. Su
Xiaobai Li
Feng Zhou
Guoying Zhao
CVBM
46
397
0
09 Mar 2020
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
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,279
0
06 Mar 2017
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
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