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1 Ergebnisse
1
MF-YOLO: Multimodal Fusion for Remote Sensing Object Detect..:
, In:
2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Li, Wenqiang
;
Li, Aimin
;
Kong, Xiaotong
.. - p. 897-903 , 2024
Link:
https://doi.org/10.1109/CSCWD61410.2024.10580205
RT T1 <cTitle>2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>MF-YOLO: Multimodal Fusion for Remote Sensing Object Detection Based on YOLOv5s</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10580205&Exemplar=1&LAN=DE A1 Li, Wenqiang A1 Li, Aimin A1 Kong, Xiaotong A1 Zhang, Yuechen A1 Li, Zhiyao YR 2024 SN 2768-1904 K1 YOLO K1 Accuracy K1 Federated learning K1 Noise K1 Neural networks K1 Prediction algorithms K1 Routing K1 multimodal fusion K1 feature fusion K1 object detection K1 remote sensing images SP 897 OP 903 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD61410.2024.10580205 DO https://doi.org/10.1109/CSCWD61410.2024.10580205 SF ELIB - SuUB Bremen
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