Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model.

Wei, Lifu; Kong, Shihan; Wu, Yuquan; Yu, Junzhi

Wei, Lifu; Kong, Shihan; Wu, Yuquan; Yu, Junzhi.

Afiliación

Wei L; Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China.
Kong S; Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China.
Wu Y; Institute of Software, Chinese Academy of Sciences, Beijing 100190, China.
Yu J; Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China.

Sensors (Basel) ; 22(17)2022 Aug 30.

Article en En | MEDLINE | ID: mdl-36081003

Asunto(s)

Aprendizaje Profundo; Procesamiento de Imagen Asistido por Computador/métodos; Semántica

Palabras clave

U-Net; deep learning; semantic segmentation; underwater garbage collection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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