VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification-Reference-Cited by-同舟云学术

VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification

Published:2022-11 Issue: Volume:89 Page:103644
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Kumar Sanjeev^ORCID,Gupta Suneet K.,Kaur Manjit,Gupta Umesh

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference54 articles.

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4. D. Tralic, I. Zupancic, S. Grgic, M. Grgic, CoMoFoD - New Database for Copy-Move Forgery Detection, in: 55th Int. Symp. ELMAR, no. September 2013, pp. 25–27, 2013.

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