A Transformer-Optimized Deep Learning Network for Road Damage Detection and Tracking

To solve the problems of low accuracy and false counts of existing models in road damage object detection and tracking, in this paper, we propose Road-TransTrack, a tracking model based on transformer optimization. First, using the classification network based on YOLOv5, the collected road damage im...

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Detalles Bibliográficos
Autores principales: Wang, Niannian, Shang, Lihang, Song, Xiaotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490637/
https://www.ncbi.nlm.nih.gov/pubmed/37687850
http://dx.doi.org/10.3390/s23177395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490637/
https://www.ncbi.nlm.nih.gov/pubmed/37687850
http://dx.doi.org/10.3390/s23177395

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