Training results for various types of ships.

<div><p>Ship object detection and fine-grained recognition of remote sensing images are hot topics in remote sensing image processing, with applications in fishing vessel operation command, merchant ship navigation route planning, and other fields. In order to improve the detection accur...

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Bibliografiske detaljer
Hovedforfatter:	Xuhui Liu (546025) (author)
Andre forfattere:	Chi Feng (7863566) (author), Shuran Zi (22103924) (author), Zhengkun Qin (16850100) (author), Qinghe Guan (22103927) (author)
Udgivet:	2025
Fag:	Neuroscience Biotechnology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> 0 remote sensing images experimental results show 09 %, respectively 0 visible light 5 </ sub ship object perception fuse different scales spatial position information div >< p ship object detection ship object fine ship ’ ship objects different types different categories unique features sub xmlns sfrm ), selective memory regression loss paper proposes paper designs hot topics grained recognition grained features focal loss detection accuracy classification loss based method
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Training results for various types of ships.

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