Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning

Traffic sign recognition is a classification problem that poses challenges for computer vision and machine learning algorithms. Although both computer vision and machine learning techniques have constantly been improved to solve this problem, the sudden rise in the number of unlabeled traffic signs...

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Detalles Bibliográficos
Autores principales: Nartey, Obed Tettey, Yang, Guowu, Asare, Sarpong Kwadwo, Wu, Jinzhao, Frempong, Lady Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248915/
https://www.ncbi.nlm.nih.gov/pubmed/32397197
http://dx.doi.org/10.3390/s20092684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248915/
https://www.ncbi.nlm.nih.gov/pubmed/32397197
http://dx.doi.org/10.3390/s20092684

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