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Quality-Agnostic Deepfake Detection with Intra-model Collaborative
  Learning

Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning

12 September 2023
B. Le
Simon S. Woo
    AAML
ArXivPDFHTML

Papers citing "Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning"

4 / 4 papers shown
Title
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Ming-Hui Liu
Xiao-Qian Liu
Xin Luo
Xin-Shun Xu
54
0
0
07 May 2025
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
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
132
1,037
0
27 Sep 2019
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