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pro vyhledávání: '"Christopher Storie"'
Autor:
Mikhail Sokolov, Christopher Henry, Joni Storie, Christopher Storie, Victor Alhassan, Mathieu Turgeon-Pelchat
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 482-492 (2023)
Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing datasets means that scientists need to solve the domain adaptation (DA) probl
Externí odkaz:
https://doaj.org/article/76d2c6ce3cdc466bb4b02b96172bd206
Autor:
Mikhail Sokolov, Christopher Henry, Joni Storie, Christopher Storie, Victor Alhassan, Mathieu Turgeon-Pelchat
Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing datasets means that scientists need to solve the domain adaptation problem to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bacab563580ca269ca0b9583ea9c6693
