Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alessandro Aimar"'
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the adve
Externí odkaz:
https://doaj.org/article/02233feeb2fc48e5ad899994ad83b9a7
Publikováno v:
IV
Increasing interest in deep learning and convolutional neural networks resulted in the last years in multiple techniques aiming to improve their accuracy, training speed, and inference speed. At the same time, their computational cost triggered the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07b604554bd85d9f57be991632c17001
https://doi.org/10.1109/ivs.2019.8814001
https://doi.org/10.1109/ivs.2019.8814001
Autor:
Tobi Delbruck, Alessandro Aimar, Moritz B. Milde, Ricardo Tapiador-Morales, Enrico Calabrese, Shih-Chii Liu, Hesham Mostafa, Federico Corradi, Alejandro Linares-Barranco, Antonio Rios-Navarro, Iulia-Alexandra Lungu
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many stateof- the-art (SOA) visual processing tasks. Even though Graphical Processing Units (GPUs) are most often used in training and deploying CNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c5b4e7f31dd8221e1e9425674bd9a2
