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A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

11 May 2022
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
ArXivPDFHTML

Papers citing "A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials"

14 / 14 papers shown
Title
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
110
1
0
26 Nov 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
46
1
0
01 Oct 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Wang
Shu Hu
Shu Hu
EGVM
81
11
0
02 Jun 2024
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
Zhi Yan
Yong Zhang
Xinhang Yuan
Siwei Lyu
Baoyuan Wu
ELM
30
66
0
04 Jul 2023
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for
  Exposing Deepfakes
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
Nicolas Larue
Ngoc-Son Vu
Vitomir Štruc
Peter Peer
V. Christophides
AAML
35
27
0
21 Nov 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
210
0
26 Jul 2022
GAN-generated Faces Detection: A Survey and New Perspectives
GAN-generated Faces Detection: A Survey and New Perspectives
Xin Wang
Hui Guo
Shu Hu
Ming-Ching Chang
Siwei Lyu
CVBM
24
63
0
15 Feb 2022
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
50
58
0
20 Apr 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
85
374
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
149
1,046
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
285
10,354
0
12 Dec 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li
Tianhao Zhang
Jitendra Malik
DiffM
170
84
0
29 Nov 2018
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