A Feature Fusion Method with Guided Training for Classification Tasks

In this paper, a feature fusion method with guiding training (FGT-Net) is constructed to fuse image data and numerical data for some specific recognition tasks which cannot be classified accurately only according to images. The proposed structure is divided into the shared weight network part, the f...

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Detalles Bibliográficos
Autores principales: Zhang, Taohong, Fan, Suli, Hu, Junnan, Guo, Xuxu, Li, Qianqian, Zhang, Ying, Wulamu, Aziguli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062192/
https://www.ncbi.nlm.nih.gov/pubmed/33936189
http://dx.doi.org/10.1155/2021/6647220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062192/
https://www.ncbi.nlm.nih.gov/pubmed/33936189
http://dx.doi.org/10.1155/2021/6647220

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