Document images forgery localization using a two‐stream network-Reference-Cited by-同舟云学术

Document images forgery localization using a two‐stream network

Published:2021-12-29 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Xu Wenbo¹,Luo Junwei¹,Zhu Chuntao¹,Lu Wei¹^ORCID,Zeng Jinhua²,Shi Shaopei²,Lin Cong³

Affiliation:

1. School of Computer Science and Engineering, Guangdong Province Key Laboratory of Information Security Technology, Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat‐sen University Guangzhou China

2. Academy of Forensic Science Shanghai China

3. School of Statistics and Mathematics Guangdong University of Finance and Economics Guangzhou China

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Shenzhen Municipality

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22792

Reference48 articles.

1. Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries

2. Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection

3. ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

4. Image Tampering Localization Using a Dense Fully Convolutional Network

5. Learning Rich Features for Image Manipulation Detection

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