Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain

In recent years, Deep Learning techniques applied to steganalysis have surpassed the traditional two-stage approach by unifying feature extraction and classification in a single model, the Convolutional Neural Network (CNN). Several CNN architectures have been proposed to solve this task, improving...

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Detalles Bibliográficos
Autores principales: Tabares-Soto, Reinel, Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Bravo-Ortíz, Mario Alejandro, Arias-Garzón, Daniel, Alzate Grisales, Jesús Alejandro, Burbano Jacome, Alejandro, Orozco-Arias, Simon, Isaza, Gustavo, Ramos Pollan, Raul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049123/
https://www.ncbi.nlm.nih.gov/pubmed/33954236
http://dx.doi.org/10.7717/peerj-cs.451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049123/
https://www.ncbi.nlm.nih.gov/pubmed/33954236
http://dx.doi.org/10.7717/peerj-cs.451

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