Small Object Detection in Traffic Scenes Based on YOLO-MXANet

In terms of small objects in traffic scenes, general object detection algorithms have low detection accuracy, high model complexity, and slow detection speed. To solve the above problems, an improved algorithm (named YOLO-MXANet) is proposed in this paper. Complete-Intersection over Union (CIoU) is...

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Detalles Bibliográficos
Autores principales: He, Xiaowei, Cheng, Rao, Zheng, Zhonglong, Wang, Zeji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588269/
https://www.ncbi.nlm.nih.gov/pubmed/34770726
http://dx.doi.org/10.3390/s21217422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588269/
https://www.ncbi.nlm.nih.gov/pubmed/34770726
http://dx.doi.org/10.3390/s21217422

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