Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kristian Muri Knausgård"'
Publikováno v:
IEEE Access, Vol 12, Pp 96797-96820 (2024)
Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for their ability to directly estimate 3D shapes. This review pape
Externí odkaz:
https://doaj.org/article/c1cd15f6fb5d40b294064d67743056e4
Publikováno v:
Fishes, Vol 7, Iss 6, p 345 (2022)
The population living in the coastal region relies heavily on fish as a food source due to their vast availability and low cost. This need has given rise to fish farming. Fish farmers and the fishing industry face serious challenges such as lice in t
Externí odkaz:
https://doaj.org/article/75141d3112b74f328993af5b9db4dfd2
Publikováno v:
Informatics, Vol 9, Iss 2, p 33 (2022)
Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the physical space, i.e., the s
Externí odkaz:
https://doaj.org/article/10a837bc2ae54831aee2144a2f097c51
Autor:
Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023
In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior. However, such tagging techniques are increasingly being replaced by individual re-identification using image analysis. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a2b3cf1ba1e9ab89d2937f2a799a65
http://arxiv.org/abs/2301.00596
http://arxiv.org/abs/2301.00596
Autor:
Kristian Muri Knausgård, Siv Lene Gangenes Skar, Filippo Sanfilippo, Albert Buldenko, Henning Lindheim, Jakob Lunde, Eligijus Sukarevicius, Kjell G. Robbersmyr
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031105241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef8953db807e459b8751d445cd5468dc
https://doi.org/10.1007/978-3-031-10525-8_9
https://doi.org/10.1007/978-3-031-10525-8_9
Autor:
Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783031082221
Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and the obstacles can be either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d50dee031ae2abba102c75cd44edea
http://hdl.handle.net/10852/100544
http://hdl.handle.net/10852/100544
Autor:
Morten Goodwin, Kim Aleksander Tallaksen Halvorsen, Alf Ring Kleiven, Kristian Muri Knausgård, Lei Jiao, Arne Wiklund, Tonje Knutsen Sørdalen
Publikováno v:
Applied intelligence (Boston)
A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630ba990b4d4291fcab61f64c3105dc8