Guiding visual attention in deep convolutional neural networks based on human eye movements

Deep Convolutional Neural Networks (DCNNs) were originally inspired by principles of biological vision, have evolved into best current computational models of object recognition, and consequently indicate strong architectural and functional parallelism with the ventral visual pathway throughout comp...

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Detalles Bibliográficos
Autores principales: van Dyck, Leonard Elia, Denzler, Sebastian Jochen, Gruber, Walter Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514055/
https://www.ncbi.nlm.nih.gov/pubmed/36177359
http://dx.doi.org/10.3389/fnins.2022.975639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514055/
https://www.ncbi.nlm.nih.gov/pubmed/36177359
http://dx.doi.org/10.3389/fnins.2022.975639

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