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SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN

To tackle the intricate challenges associated with the low detection accuracy of images taken by unmanned aerial vehicles (UAVs), arising from the diverse sizes and types of objects coupled with limited feature information, we present the SRE-YOLOv8 as an advanced method. Our method enhances the YOL...

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Autores principales: Jun Li, Jiajie Zhang, Yanhua Shao, Feng Liu
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2024-06-01
Colección:Sensors
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Acceso en línea:https://www.mdpi.com/1424-8220/24/12/3918
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