Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Inkyu Shin"'
Publikováno v:
Journal of Environmental Science International. 29:1003-1010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::553eb339a767e8f9d76788cff40534c4
https://doi.org/10.5322/jesi.2020.29.10.1003
https://doi.org/10.5322/jesi.2020.29.10.1003
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7efefec6057f259d7062d5ddc857492d
https://doi.org/10.1007/978-3-031-16437-8_75
https://doi.org/10.1007/978-3-031-16437-8_75
Unsupervised Domain Adaptation (UDA) for semantic segmentation has been actively studied to mitigate the domain gap between label-rich source data and unlabeled target data. Despite these efforts, UDA still has a long way to go to reach the fully sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b38b8bce40ad1dc70ff55458425f000
http://arxiv.org/abs/2108.05570
http://arxiv.org/abs/2108.05570
Publikováno v:
CVPR
Convolutional neural network-based approaches have achieved remarkable progress in semantic segmentation. However, these approaches heavily rely on annotated data which are labor intensive. To cope with this limitation, automatically annotated data g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d16110af1b5b57febce92326c7edd15
http://arxiv.org/abs/2004.07703
http://arxiv.org/abs/2004.07703
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586003
ECCV (13)
ECCV (13)
Recently, deep self-training approaches emerged as a powerful solution to the unsupervised domain adaptation. The self-training scheme involves iterative processing of target data; it generates target pseudo labels and retrains the network. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f4d95561cee0c359d9ceed08f93b204
https://doi.org/10.1007/978-3-030-58601-0_32
https://doi.org/10.1007/978-3-030-58601-0_32
Autor:
Jong Yeon Hwang, Sunhwa Park, Ji-In Kim, InKyu Shin, Moonsu Kim, HyunKoo Kim, Gyeong-Mi Lee, Tae-Seung Kim, Hun-Je Jo
Publikováno v:
Journal of Agricultural Chemistry and Environment. :1-29
Understanding of the aquifer hydraulic properties and hydrochemical characteristics of water is crucial for management plan and study skims in the target area, and flow motions and chemical species of groundwater are regarded as precious information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0537c30705080100eaff192fd96dab91
https://doi.org/10.4236/jacen.2017.61001
https://doi.org/10.4236/jacen.2017.61001
Publikováno v:
CVPR
Recently, unsupervised exemplar-based image-to-image translation, conditioned on a given exemplar without the paired data, has accomplished substantial advancements. In order to transfer the information from an exemplar to an input image, existing me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5f877cc52fcf1fbad1e4ce61d67ee0
https://doi.org/10.1109/cvpr.2019.01089
https://doi.org/10.1109/cvpr.2019.01089
Publikováno v:
Journal of Geochemical Exploration. 169:1-12
Uraniferous black slates, extending for over 100 km in the Ogcheon Metamorphic Belt, South Korea, have been explored for their uranium mineralization. Coaly slates interbedded in the black slates, forming a layer about 20–40 m thick showing breccia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b88c4f431b54f848be108982ef1f636
https://doi.org/10.1016/j.gexplo.2016.07.008
https://doi.org/10.1016/j.gexplo.2016.07.008