Instance Segmentation Based on Improved Self-Adaptive Normalization.

Yang, Sen; Wang, Xiaobao; Yang, Qijuan; Dong, Enzeng; Du, Shengzhi

Yang, Sen; Wang, Xiaobao; Yang, Qijuan; Dong, Enzeng; Du, Shengzhi.

Afiliación

Yang S; Tianjin Key Laboratory for Control Theory & Applications Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.
Wang X; Tianjin Key Laboratory for Control Theory & Applications Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.
Yang Q; Tianjin Key Laboratory for Control Theory & Applications Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.
Dong E; China Mobile Communications Group Jiangsu Co., Ltd., Suqian Branch, Suqian 223800, China.
Du S; Tianjin Key Laboratory for Control Theory & Applications Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.

Sensors (Basel) ; 22(12)2022 Jun 10.

Article en En | MEDLINE | ID: mdl-35746178

Palabras clave

adaptive weight; batch size; instance segmentation; normalized; self-adaptive normalization

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

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