Instance segmentation using semi-supervised learning for fire recognition

Fire disaster brings enormous danger to the safety of human life and property, and it is important to identify the fire situation in time through image processing technology. The current instance segmentation algorithms suffer from problems such as inadequate fire images and annotations, low recogni...

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Detalles Bibliográficos
Autores principales: Sun, Guangmin, Wen, Yuxuan, Li, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798183/
https://www.ncbi.nlm.nih.gov/pubmed/36590555
http://dx.doi.org/10.1016/j.heliyon.2022.e12375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798183/
https://www.ncbi.nlm.nih.gov/pubmed/36590555
http://dx.doi.org/10.1016/j.heliyon.2022.e12375

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