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1
Open Mutual Learning: Ensemble of CNNS For Urban Building F..:
, In:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
,
Neupane, Bipul
;
Aryal, Jagannath
;
Rajabifard, Abbas
- p. 8131-8134 , 2024
Link:
https://doi.org/10.1109/IGARSS53475.2024.10642566
RT T1 <cTitle>IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Open Mutual Learning: Ensemble of CNNS For Urban Building Footprint Extraction with Open Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10642566&Exemplar=1&LAN=DE A1 Neupane, Bipul A1 Aryal, Jagannath A1 Rajabifard, Abbas YR 2024 SN 2153-7003 K1 Training K1 Semantic segmentation K1 Buildings K1 Training data K1 Performance gain K1 Internet K1 Data mining K1 building footprint extraction K1 knowledge distillation K1 deep mutual learning SP 8131 OP 8134 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS53475.2024.10642566 DO https://doi.org/10.1109/IGARSS53475.2024.10642566 SF ELIB - SuUB Bremen
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