Generic Image Manipulation Localization through the Lens of Multi-scale Spatial Inconsistence-Reference-Cited by-同舟云学术

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Generic Image Manipulation Localization through the Lens of Multi-scale Spatial Inconsistence

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Gao Zan¹,Chen Shenghao²,Guo Yangyang³,Guan Weili⁴,Nie Jie⁵,Liu Anan⁶

Affiliation:

1. Qilu University of Technology, Jinan, Congo Republic

2. Qilu University of Technology, Jinan, China

3. National University of Singapore, Singapore, Singapore

4. Monash University, Melbourne, Australia

5. Ocean University of China, Qingdao, China

6. Tianjin University, Tianjin, China

Funder

Young creative team in universities of Shandong Province

Shandong project towards the integration of education and industry

National Natural Science Foundation of China

Jinan 20 projects in universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548100

Reference37 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. RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection

4. Reverse Attention for Salient Object Detection

5. Image Manipulation Detection by Multi-View Multi-Scale Supervision

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. Image manipulation localization using reconstruction attention;Multimedia Tools and Applications;2024-04-01

2. DAE-Net: Dual Attention Mechanism and Edge Supervision Network for Image Manipulation Detection and Localization;IEEE Transactions on Instrumentation and Measurement;2024

3. VirtualLoc: Large-scale Visual Localization Using Virtual Images;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-10-23

4. Robustifying Vision Transformer for Image Forgery Localization with Multi-Exit Architectures;2023

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