F<sup>2</sup>Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection-Reference-Cited by-同舟云学术

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F²Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection

Published:2023 Issue: Volume:18 Page:1039-1051
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Miao Changtao¹^ORCID,Tan Zichang²^ORCID,Chu Qi¹^ORCID,Liu Huan³^ORCID,Hu Honggang¹,Yu Nenghai¹^ORCID

Affiliation:

1. School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China

2. Department of Computer Vision Technology (VIS), Baidu Inc., Beijing, China

3. Institute of Information Science, Beijing Jiaotong University, Beijing, China

Funder

National Natural Science Foundation of China

Fund Project of University of Science and Technology of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9970396/10004978.pdf?arnumber=10004978

Reference98 articles.

1. Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection

2. Sharp Multiple Instance Learning for DeepFake Video Detection

3. Xception: Deep Learning with Depthwise Separable Convolutions

4. Transformer-Based Feature Compensation and Aggregation for DeepFake Detection

5. Fourier spectrum discrepancies in deep network generated images;dzanic;Proc NeurIPS,2020

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IIN-FFD: Intra-Inter Network for Face Forgery Detection;Tsinghua Science and Technology;2024-12

2. DeepFake detection based on high-frequency enhancement network for highly compressed content;Expert Systems with Applications;2024-09

3. Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review;Expert Systems with Applications;2024-09

4. Test-time Forgery Detection with Spatial-Frequency Prompt Learning;International Journal of Computer Vision;2024-08-13

5. Rethinking Open-World DeepFake Attribution with Multi-perspective Sensory Learning;International Journal of Computer Vision;2024-08-12

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