Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision

Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision

While abundant in biology, foveated vision is nearly absent from computational models and especially deep learning architectures. Despite considerable hardware improvements, training deep neural networks still presents a challenge and constraints complexity of models. Here we propose an end-to-end n...

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Bibliographic Details
Main Authors: Hristofor Lukanov, Peter König, Gordon Pipa
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
space-variant vision
active vision
foveal vision
peripheral vision
deep learning-artificial neural network (DL-ANN)
bottom-up attention
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Online Access:https://doaj.org/article/dd5d9cfd27fd412e8e6bb0d0b7609983
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https://doaj.org/article/dd5d9cfd27fd412e8e6bb0d0b7609983

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