Two-Stage Copy-Move Forgery Detection With Self Deep Matching and Proposal SuperGlue-Reference-Cited by-同舟云学术

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Two-Stage Copy-Move Forgery Detection With Self Deep Matching and Proposal SuperGlue

Published:2022 Issue: Volume:31 Page:541-555
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Liu Yaqi^ORCID,Xia Chao^ORCID,Zhu Xiaobin^ORCID,Xu Shengwei

Funder

NSFC

Advanced Discipline Construction Project of Beijing Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09646481.pdf?arnumber=9646481

Cited by 44 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. Detecting complex copy-move forgery using KeyPoint-Siamese Capsule Network against adversarial attacks;International Journal of Machine Learning and Cybernetics;2024-09-13

2. A Similarity-Based Positional Attention-Aided Deep Learning Model for Copy–Move Forgery Detection;IEEE Transactions on Artificial Intelligence;2024-09

3. Copy-move forgery detection using Regional Density Center clustering;Journal of Visual Communication and Image Representation;2024-08

4. Copy-move detection method based on Decoupled Edge Supervision and multi-domain cross correlation modeling;Multimedia Tools and Applications;2024-07-19

5. Learning Compressed Artifact for JPEG Manipulation Localization Using Wide-Receptive-Field Network;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-07-18

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