Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

DOI10.1162/neco_a_01226zbMath1429.92021arXiv1806.01823OpenAlexW2973950458WikidataQ90124208 ScholiaQ90124208MaRDI QIDQ5214393

Odelia Schwartz, Luis Gonzalo Sanchez Giraldo

Publication date: 7 February 2020

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

Full work available at URL: https://arxiv.org/abs/1806.01823

zbMATH Keywords

visual cortexneural responsedeep convolutional neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Uses Software

• Steerable pyramid
• ImageNet
• AlexNet

Cites Work

• Unnamed Item
• Natural image statistics. A probabilistic approach to early computational vision.
• A parametric texture model based on joint statistics of complex wavelet coefficients
• Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics
• Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex
• Random cascades on wavelet trees and their use in analyzing and modeling natural images

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