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Automatic counting of mounds on UAV images: combining insta..:
, In:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
,
Nategh, Majid Nikougoftar
;
Zgaren, Ahmed
;
Bouachir, Wassim
. - p. 375-381 , 2022
Link:
https://doi.org/10.1109/ICMLA55696.2022.00060
RT T1 <cTitle>2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)</cTitle>: T1 <Title>Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10069717&Exemplar=1&LAN=DE A1 Nategh, Majid Nikougoftar A1 Zgaren, Ahmed A1 Bouachir, Wassim A1 Bouguila, Nizar YR 2022 K1 Image segmentation K1 Visualization K1 Computer vision K1 Perturbation methods K1 Forestry K1 Vegetation K1 Manuals K1 Object counting K1 Mound detection K1 UAV imagery K1 Instance segmentation K1 Mask-RCNN K1 Precision forestry SP 375 OP 381 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA55696.2022.00060 DO https://doi.org/10.1109/ICMLA55696.2022.00060 SF ELIB - SuUB Bremen
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