A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision

Author:

Heinke Dietmar,Wachman Peter,van Zoest Wieske,Leek E. Charles

Funder

ESRC

Publisher

Elsevier BV

Subject

Sensory Systems,Ophthalmology

Reference79 articles.

1. Excitatory versus inhibitory feedback in Bayesian formulations of scene construction;Abadi;Journal of The Royal Society Interface,2019

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3. Local features and global shape information in object classification by deep convolutional neural networks;Baker;Vision Research,2020

4. Deep convolutional networks do not classify based on global object shape;Baker;PLoS Computational Biology,2018

5. February). On the performance of GoogLeNet and AlexNet applied to sketches;Ballester,2016

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