Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Silvio Galesso"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::237810d3f1f9e469f675135c925ca28c
https://doi.org/10.1007/978-3-031-25072-9_34
https://doi.org/10.1007/978-3-031-25072-9_34
Publikováno v:
CVPR Workshops
Contemporary neural networks are limited in their ability to learn from evolving streams of training data. When trained sequentially on new or evolving tasks, their accuracy drops sharply, making them unsuitable for many real-world applications. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41dbc4b1459e0d6267c07d2e15fc085d
http://arxiv.org/abs/2102.09517
http://arxiv.org/abs/2102.09517
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VII
Computer Vision – ECCV 2018 ISBN: 9783030012335
ECCV (7)
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VII
Computer Vision – ECCV 2018 ISBN: 9783030012335
ECCV (7)
Optical flow estimation can be formulated as an end-to-end supervised learning problem, which yields estimates with a superior accuracy-runtime tradeoff compared to alternative methodology. In this paper, we make such networks estimate their local un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b622770c9802bee0b574d8dddaf5279