Properties of invariant object recognition in human one-shot learning suggests a hierarchical architecture different from deep convolutional neural networks

Autor:	Gemma Roig, Tomaso Poggio, Gad Geiger, Yena Han
Rok vydání:	2019
Předmět:	Ophthalmology Computer science business.industry Pattern recognition Artificial intelligence Architecture One-shot learning business Convolutional neural network Invariant object recognition Sensory Systems
Zdroj:	Journal of Vision. 19:28d
ISSN:	1534-7362
DOI:	10.1167/19.10.28d
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::904581b5010cc64f3e492f1928e00a02 https://doi.org/10.1167/19.10.28d Zobrazit plný text záznamu