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Detecting GAN generated Fake Images using Co-occurrence Matrices
The advent of Generative Adversarial Networks (GANs) has brought about c...
03/15/2019 ∙ by Lakshmanan Nataraj, et al. ∙
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Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
The amount of digital imagery recorded has recently grown exponentially,...
03/01/2018 ∙ by Arjuna Flenner, et al. ∙
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Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
02/09/2018 ∙ by Tajuddin Manhar Mohammed, et al. ∙
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Boosting Image Forgery Detection using Resampling Detection and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
02/09/2018 ∙ by Tajuddin Manhar Mohammed, et al. ∙
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Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
Resampling is an important signature of manipulated images. In this pape...
07/03/2017 ∙ by Jason Bunk, et al. ∙
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Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
We consider the problem of scale detection in images where a region of i...
02/27/2016 ∙ by Luca Calatroni, et al. ∙
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Improving Image Clustering using Sparse Text and the Wisdom of the Crowds
We propose a method to improve image clustering using sparse text and th...
05/08/2014 ∙ by Anna Ma, et al. ∙
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Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau Functional Minimization
We present a graph-based variational algorithm for classification of hig...
06/06/2013 ∙ by Cristina Garcia-Cardona, et al. ∙
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Multiclass Data Segmentation using Diffuse Interface Methods on Graphs
We present two graph-based algorithms for multiclass segmentation of hig...
02/15/2013 ∙ by Cristina Garcia-Cardona, et al. ∙
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Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs
We present a graph-based variational algorithm for multiclass classifica...
12/05/2012 ∙ by Cristina Garcia-Cardona, et al. ∙
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