Short Circuit Recognition for Metal Electrorefining Using an Improved Faster R-CNN With Synthetic Infrared Images

This paper is concerned with the problem of short circuit detection in infrared image for metal electrorefining with an improved Faster Region-based Convolutional Neural Network (Faster R-CNN). To address the problem of insufficient label data, a framework for automatically generating labeled infrar...

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Detalles Bibliográficos
Autores principales: Li, Xin, Li, Yonggang, Wu, Renchao, Zhou, Can, Zhu, Hongqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662818/
https://www.ncbi.nlm.nih.gov/pubmed/34899228
http://dx.doi.org/10.3389/fnbot.2021.751037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662818/
https://www.ncbi.nlm.nih.gov/pubmed/34899228
http://dx.doi.org/10.3389/fnbot.2021.751037

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