Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection-Reference-Cited by-同舟云学术

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Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection

Published:2022-09-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)
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Author:

Fezza Sid Ahmed¹,Ouis Mohammed Yasser¹,Kaddar Bachir²,Hamidouche Wassim³,Hadid Abdenour⁴

Affiliation:

1. National Higher School of Telecommunications and ICT,Oran,Algeria

2. University of Ibn Khaldoun,Tiaret,Algeria

3. Univ. Rennes, INSA Rennes, IETR - UMR 6164,CNRS,Rennes,France

4. Sorbonne University Abu Dhabi,Sorbonne Center for Artificial Intelligence,Abu Dhabi,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948698/9948704/09949282.pdf?arnumber=9949282

Reference46 articles.

1. Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

2. Deep Residual Learning for Image Recognition

3. A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

4. Automated face swapping and its detection

5. MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation

Cited by 4 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. Forensic research of satellite images forgery: a comprehensive survey;Artificial Intelligence Review;2024-08-14

2. Hybrid network of convolutional neural network and transformer for deepfake geographic image detection;Journal of Electronic Imaging;2024-03-05

3. Kapsül Ağları Kullanılarak Gerçek ve Sahte Yüz Verilerinin Sınıflandırılması;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2023-09-01

4. Detecting Deepfake Human Face Images Using Transfer Learning: A Comparative Study;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

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