Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Artjoms Gorpincenko"'
Autor:
Mark Fisher, Geoffrey French, Artjoms Gorpincenko, Helen Holah, Lauren Clayton, Rebecca Skirrow, Michal Mackiewicz
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 349-361 (2023)
Abstract A system that reconstructs 3D models from a single camera monitoring fish transported on a conveyor system is investigated. Models are subsequently used for training a species classifier and for improving estimates of discarded biomass. It i
Externí odkaz:
https://doaj.org/article/51562fc81e89473db28387d936cf08ba
Autor:
Artjoms Gorpincenko, Michal Mackiewicz
Publikováno v:
Image and Vision Computing ISBN: 9783031258244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da5e739b4839ceb8aabbaa014ac1cda3
https://doi.org/10.1007/978-3-031-25825-1_8
https://doi.org/10.1007/978-3-031-25825-1_8
Publikováno v:
IEEE Sensors Journal. 21:4981-4988
Human enterprise often suffers from direct negative effects caused by jellyfish blooms. The investigation of a prior jellyfish monitoring system showed that it was unable to reliably perform in a cross validation setting, i.e. in new underwater envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c81adbc5b03949ea8b16e50935312e
https://doi.org/10.1109/jsen.2020.3032031
https://doi.org/10.1109/jsen.2020.3032031
Autor:
Artjoms Gorpincenko, Michal Mackiewicz
Publikováno v:
IMPROVE
Unsupervised video domain adaptation (DA) has recently seen a lot of success, achieving almost if not perfect results on the majority of various benchmark datasets. Therefore, the next natural step for the field is to come up with new, more challengi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6974cc4f36f910aef1f3f1596fb4e1df
https://doi.org/10.5220/0010460901070111
https://doi.org/10.5220/0010460901070111
Publikováno v:
Image Processing: Algorithms and Systems
Virtual Adversarial Training has recently seen a lot of success in semi-supervised learning, as well as unsupervised Domain Adaptation. However, so far it has been used on input samples in the pixel space, whereas we propose to apply it directly to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef50bde2c82a534a3f7961af00e0c15d
http://arxiv.org/abs/2008.08369
http://arxiv.org/abs/2008.08369