Pedestrian detection algorithm integrating large kernel attention and YOLOV5 lightweight model

In the context of intelligent driving, pedestrian detection faces challenges related to low accuracy in target recognition and positioning. To address this issue, a pedestrian detection algorithm is proposed that integrates a large kernel attention mechanism with the YOLOV5 lightweight model. The al...

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Detalles Bibliográficos
Autores principales: Yin, Yuping, Zhang, Zheyu, Wei, Lin, Geng, Chao, Ran, Haoxiang, Zhu, Haodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686420/
https://www.ncbi.nlm.nih.gov/pubmed/38019827
http://dx.doi.org/10.1371/journal.pone.0294865

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686420/
https://www.ncbi.nlm.nih.gov/pubmed/38019827
http://dx.doi.org/10.1371/journal.pone.0294865

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