YOLO-Extract: Improved YOLOv5 for Aircraft Object Detection in Remote Sensing Images

Compared with natural images, remote sensing targets have small and dense target shapes as well as complex target backgrounds. As a result, insufficient detection accuracy and target location cannot be accurately identified. So, this paper proposes the YOLO-extract algorithm based on the YOLOv5 algo...

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Detalhes bibliográficos

Principais autores:	Zhiguo Liu, Yuan Gao, Qianqian Du, Meng Chen, Wenqiang Lv
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2023-01-01
Colecção:	IEEE Access
Assuntos:	Remote sensing aircraft target YOLOv5 structure optimization dilated convolution focal-α IoU loss
Acesso em linha:	https://ieeexplore.ieee.org/document/10005162/
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