UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios.

Wang, Gang; Chen, Yanfei; An, Pei; Hong, Hanyu; Hu, Jinghu; Huang, Tiange

Wang, Gang; Chen, Yanfei; An, Pei; Hong, Hanyu; Hu, Jinghu; Huang, Tiange.

Afiliación

Wang G; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Chen Y; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
An P; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Hong H; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Hu J; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Huang T; Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Sensors (Basel) ; 23(16)2023 Aug 15.

Article en En | MEDLINE | ID: mdl-37631727

Palabras clave

BiFormer; FasterNet; UAVs; WIoU; YOLOv8; small-object detection

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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