ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.02016
  4. Cited By
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point
  Defects

FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects

5 July 2021
Gaojian Wang
Qian Jiang
Xin Jin
Xiaohui Cui
    CVBM
ArXivPDFHTML

Papers citing "FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects"

3 / 3 papers shown
Title
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
373
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
137
1,044
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
276
10,348
0
12 Dec 2018
1