Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet

Aiming at recognizing small proportion, blurred and complex traffic sign in natural scenes, a traffic sign detection method based on RetinaNet-NeXt is proposed. First, to ensure the quality of dataset, the data were cleaned and enhanced to denoise. Secondly, a novel backbone network ResNeXt was empl...

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Detalles Bibliográficos
Autores principales: Liu, Shangwang, Cai, Tongbo, Tang, Xiufang, Zhang, Yangyang, Wang, Changgeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774394/
https://www.ncbi.nlm.nih.gov/pubmed/35052138
http://dx.doi.org/10.3390/e24010112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774394/
https://www.ncbi.nlm.nih.gov/pubmed/35052138
http://dx.doi.org/10.3390/e24010112

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