Multi-object detection for crowded road scene based on ML-AFP of YOLOv5

Aiming at the problem of multi-object detection such as target occlusion and tiny targets in road scenes, this paper proposes an improved YOLOv5 multi-object detection model based on ML-AFP (multi-level aggregation feature perception) mechanism. Since tiny targets such as non-motor vehicle and pedes...

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Detalles Bibliográficos
Autores principales: Li, Yiming, Wu, Kaiwen, Kang, Wenshuo, Zhou, Yuhui, Di, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570361/
https://www.ncbi.nlm.nih.gov/pubmed/37828051
http://dx.doi.org/10.1038/s41598-023-43458-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570361/
https://www.ncbi.nlm.nih.gov/pubmed/37828051
http://dx.doi.org/10.1038/s41598-023-43458-3

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