Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Konstantinos Tertikas"'
Publikováno v:
CVPR
Deep neural networks have improved image classification dramatically over the past decade, but have done so by focusing on performance measures that treat all classes other than the ground truth as equally wrong. This has led to a situation in which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3725a23ea046e693d62906200e26749a
https://doi.org/10.1109/cvpr42600.2020.01252
https://doi.org/10.1109/cvpr42600.2020.01252
Autor:
Sebastian Kaltwang, Brook Roberts, Sina Samangooei, Mark Pender-Bare, John Redford, Konstantinos Tertikas
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012366
ECCV (8)
ECCV (8)
Autonomous vehicles require knowledge of the surrounding road layout, which can be predicted by state-of-the-art CNNs. This work addresses the current lack of data for determining lane instances, which are needed for various driving manoeuvres. The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e464274b17b79eefc8af6a68dd35b5e
https://doi.org/10.1007/978-3-030-01237-3_33
https://doi.org/10.1007/978-3-030-01237-3_33
