YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s

Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object detection algorithms perform poorly in aerial image detection tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on Y...

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Detalles Bibliográficos
Autores principales: Sun, Chaoyue, Chen, Yajun, Xiao, Ci, You, Longxiang, Li, Rongzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422290/
https://www.ncbi.nlm.nih.gov/pubmed/37571688
http://dx.doi.org/10.3390/s23156905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422290/
https://www.ncbi.nlm.nih.gov/pubmed/37571688
http://dx.doi.org/10.3390/s23156905

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