Detecting and Locating Image Forgeries with Deep Learning-Reference-Cited by-同舟云学术

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Detecting and Locating Image Forgeries with Deep Learning

Published:2024-03-15 Issue: Volume:894 Page:1-7
ISSN:
Container-title:2024 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

Singh Kamred Udham¹,Rao Ankur²,Kumar Ankit³,Varshney Neeraj⁴,Chundawat Pushpendra Singh⁵,Singh Teekam⁶

Affiliation:

1. School of Computing, Graphic Era Hill University,Dehradun,India

2. Geetanjali Institute of Technical Studies (GITS),Udaipur,Rajashan

3. Guru Ghasidas Vishwavidyalaya,Department of Information Technology,Bilaspur,Chhattisgarh,India

4. GLA University,Department of Computer Engineering & Applications,Mathura,UP,India

5. SS engineering College

6. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649309.pdf?arnumber=10649309

Reference21 articles.

1. Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation

2. Study and analysis of copy-move & splicing image forgery detection techniques

3. Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1

4. A Robust Forgery Detection Method for Copy–Move and Splicing Attacks in Images

5. An Image Splicing and Copy-Move Detection Method Based on Convolutional Neural Networks with Global Average Pooling

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