A lightweight ship target detection model based on improved YOLOv5s algorithm.

Zheng, Yuanzhou; Zhang, Yuanfeng; Qian, Long; Zhang, Xinzhu; Diao, Shitong; Liu, Xinyu; Cao, Jingxin; Huang, Haichao

Zheng, Yuanzhou; Zhang, Yuanfeng; Qian, Long; Zhang, Xinzhu; Diao, Shitong; Liu, Xinyu; Cao, Jingxin; Huang, Haichao.

Afiliación

Zheng Y; School of Navigation, Wuhan University of Technology, Wuhan, PR China.
Zhang Y; Hubei Key Laboratory of Inland Shipping Technology, Wuhan, PR China.
Qian L; School of Navigation, Wuhan University of Technology, Wuhan, PR China.
Zhang X; Hubei Key Laboratory of Inland Shipping Technology, Wuhan, PR China.
Diao S; School of Navigation, Wuhan University of Technology, Wuhan, PR China.
Liu X; Hubei Key Laboratory of Inland Shipping Technology, Wuhan, PR China.
Cao J; School of Navigation, Wuhan University of Technology, Wuhan, PR China.
Huang H; School of Navigation, Wuhan University of Technology, Wuhan, PR China.

PLoS One ; 18(4): e0283932, 2023.

Article en En | MEDLINE | ID: mdl-37023092

Asunto(s)

Navíos; Navegación Espacial; Algoritmos; Examen Físico

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Navíos / Navegación Espacial Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article

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