Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with enhanced feature extraction based on the YOLO (Y...

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Detalles Bibliográficos
Autores principales: Du, Fu-Jun, Jiao, Shuang-Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103593/
https://www.ncbi.nlm.nih.gov/pubmed/35591227
http://dx.doi.org/10.3390/s22093537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103593/
https://www.ncbi.nlm.nih.gov/pubmed/35591227
http://dx.doi.org/10.3390/s22093537

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