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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

9 March 2021
Yinan He
Bei Gan
Siyu Chen
Yichun Zhou
Guojun Yin
Luchuan Song
Lu Sheng
Jing Shao
Ziwei Liu
    AAML
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Papers citing "ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis"

25 / 75 papers shown
Title
Fighting Malicious Media Data: A Survey on Tampering Detection and
  Deepfake Detection
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
Junke Wang
Zhenxin Li
Chao Zhang
Jingjing Chen
Zuxuan Wu
Larry S. Davis
Yueping Jiang
AAML
40
5
0
12 Dec 2022
Artificial Intelligence Security Competition (AISC)
Artificial Intelligence Security Competition (AISC)
Yinpeng Dong
Peng Chen
Senyou Deng
L. Lianji
Yi Sun
...
Zhichao Cui
G. Liu
Huafeng Shi
K. Hu
Meng Zhang
30
0
0
07 Dec 2022
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection
D. Coccomini
Giorgos Kordopatis-Zilos
Giuseppe Amato
R. Caldelli
Fabrizio Falchi
Symeon Papadopoulos
Claudio Gennaro
35
14
0
20 Nov 2022
Exploring Spatial-Temporal Features for Deepfake Detection and
  Localization
Exploring Spatial-Temporal Features for Deepfake Detection and Localization
Haiwei Wu
Jiantao Zhou
Shile Zhang
Jinyu Tian
39
4
0
28 Oct 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
61
23
0
29 Sep 2022
Attention is All They Need: Exploring the Media Archaeology of the
  Computer Vision Research Paper
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper
Sam Goree
G. Appleby
David J. Crandall
Norman Su
29
2
0
22 Sep 2022
Deep Convolutional Pooling Transformer for Deepfake Detection
Deep Convolutional Pooling Transformer for Deepfake Detection
Tianyi Wang
Harry Cheng
Kam-pui Chow
Liqiang Nie
ViT
29
67
0
12 Sep 2022
Deepfake: Definitions, Performance Metrics and Standards, Datasets and
  Benchmarks, and a Meta-Review
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review
Enes ALTUNCU
V. N. Franqueira
Shujun Li
28
11
0
21 Aug 2022
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis
Trisha Mittal
Ritwik Sinha
Viswanathan Swaminathan
John Collomosse
Tianyi Zhou
30
9
0
26 Jul 2022
Deepfake Face Traceability with Disentangling Reversing Network
Deepfake Face Traceability with Disentangling Reversing Network
Jiaxin Ai
Zhongyuan Wang
Baojin Huang
Zhen Han
CVBM
PICV
24
2
0
08 Jul 2022
Detecting and Recovering Sequential DeepFake Manipulation
Detecting and Recovering Sequential DeepFake Manipulation
Rui Shao
Tianxing Wu
Ziwei Liu
AAML
19
40
0
05 Jul 2022
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake
  Image Detection
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
D. Coccomini
R. Caldelli
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
ViT
123
30
0
28 Jun 2022
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset
  and Multimodal Method for Temporal Forgery Localization
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
Zhixi Cai
Kalin Stefanov
Abhinav Dhall
Munawar Hayat
20
3
0
13 Apr 2022
Few-shot Forgery Detection via Guided Adversarial Interpolation
Few-shot Forgery Detection via Guided Adversarial Interpolation
Haonan Qiu
Siyu Chen
Bei Gan
Kunze Wang
Huafeng Shi
Jing Shao
Ziwei Liu
AAML
16
6
0
12 Apr 2022
A Review of Deep Learning-based Approaches for Deepfake Content
  Detection
A Review of Deep Learning-based Approaches for Deepfake Content Detection
L. A. Passos
D. Jodas
K. Costa
Luis A. Souza Júnior
Douglas Rodrigues
Javier Del Ser
Danilo Colombo
João Paulo Papa
AAML
38
51
0
12 Feb 2022
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
A. Haliassos
Rodrigo Mira
Stavros Petridis
M. Pantic
CVBM
40
126
0
18 Jan 2022
ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
Yinan He
Lu Sheng
Jing Shao
Ziwei Liu
Zhaofan Zou
...
Mingwen Zhang
Zhiheng Wang
Zhenhang Huang
Tianming Zhang
Ningning Zhao
CVBM
31
2
0
15 Dec 2021
DeepFake MNIST+: A DeepFake Facial Animation Dataset
DeepFake MNIST+: A DeepFake Facial Animation Dataset
Jiajun Huang
Xueyu Wang
Bo Du
Pei Du
Chang Xu
3DH
38
18
0
18 Aug 2021
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
110
257
0
20 Apr 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
132
0
27 Feb 2021
Deepfakes Generation and Detection: State-of-the-art, open challenges,
  countermeasures, and way forward
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood
M. Nawaz
K. Malik
A. Javed
Aun Irtaza
AAML
126
297
0
25 Feb 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
149
1,047
0
27 Sep 2019
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
257
2,233
0
14 Jun 2018
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Tianwei Lin
Xu Zhao
Haisheng Su
Chongjing Wang
Ming Yang
139
700
0
08 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
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