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A novel weakly-supervised method based on the segment anyth..:
Yang, Ruiqing
;
He, Guojin
;
Yin, Ranyu
...
International Journal of Applied Earth Observation and Geoinformation. 130 (2024) - p. 103929 , 2024
Link:
https://doi.org/10.1016/j.jag.2024.103929
RT Journal T1
A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jag.2024.103929&Exemplar=1&LAN=DE A1 Yang, Ruiqing A1 He, Guojin A1 Yin, Ranyu A1 Wang, Guizhou A1 Zhang, Zhaoming A1 Long, Tengfei A1 Peng, Yan A1 Wang, Jianping PB Elsevier BV YR 2024 SN 1569-8432 JF International Journal of Applied Earth Observation and Geoinformation VO 130 SP 103929 LK http://dx.doi.org/https://doi.org/10.1016/j.jag.2024.103929 DO https://doi.org/10.1016/j.jag.2024.103929 SF ELIB - SuUB Bremen
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