Deepfake Detection Method Based on Spatio-Temporal Information Fusion

As Deepfake technology continues to evolve, the distinction between real and fake content becomes increasingly blurred. Most existing Deepfake video detection methods rely on single-frame facial image features, which limits t... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.062922
Citations
5
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
12.40

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article

Deepfake Detection Method Based on Spatio-Temporal Information Fusion

Wanru Song, Chuanyan Hao, Xinyi Wang, Feng Liu
5 citations
Computers, materials & continua/Computers, materials & continua (Print)
Anomaly Detection Techniques and Applications
12.40
article

Deepfake Detection Method Based on Spatio-Temporal Information Fusion

Wanru Song, Chuanyan Hao, Xinyi Wang, Feng Liu
article en
5 citations

Abstract

As Deepfake technology continues to evolve, the distinction between real and fake content becomes increasingly blurred. Most existing Deepfake video detection methods rely on single-frame facial image features, which limits t... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Nanjing University
Openalex Percentile: Top 2%
Anomaly Detection Techniques and Applications
12.40
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