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1 Ergebnisse
1
CRIA: An Enhancement Method For CV-CNN Based on Cross-Fusio..:
, In:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
,
Wang, Haotian
;
Ji, Zhenyuan
;
Hua, Qinglong
... - p. 10285-10288 , 2024
Link:
https://doi.org/10.1109/IGARSS53475.2024.10642936
RT T1 <cTitle>IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>CRIA: An Enhancement Method For CV-CNN Based on Cross-Fusion of Complex Information of Real and Imaginary Activations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10642936&Exemplar=1&LAN=DE A1 Wang, Haotian A1 Ji, Zhenyuan A1 Hua, Qinglong A1 Xiong, Bin A1 Zhang, Yun A1 Kang, Niezipeng A1 Li, Long YR 2024 SN 2153-7003 K1 Geoscience and remote sensing K1 Data processing K1 Radar polarimetry K1 Convolutional neural networks K1 Marine vehicles K1 Convergence K1 CV-CNN K1 ship target classification K1 complex-valued activation K1 sigmoid K1 tanh SP 10285 OP 10288 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS53475.2024.10642936 DO https://doi.org/10.1109/IGARSS53475.2024.10642936 SF ELIB - SuUB Bremen
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