Exploring the role of texture features in deep convolutional neural networks: insights from Portilla-Simoncelli statistics

DOI10.1016/J.NEUNET.2023.09.028OpenAlexW4386897857MaRDI QIDQ6092493

Yusuke Hamano, Hayaru Shouno, Shoko Nagasaka

Publication date: 23 November 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2023.09.028

zbMATH Keywords

image processingtextureVGGDCNNPortilla-Simoncelli statistics (PSS)

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Cites Work

• A neural network model for the mechanism of feature-extraction. A self- organizing network with feedback inhibition
• Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
• A parametric texture model based on joint statistics of complex wavelet coefficients

This page was built for publication: Exploring the role of texture features in deep convolutional neural networks: insights from Portilla-Simoncelli statistics