Image Representation Method Based on Relative Layer Entropy for Insulator Recognition

Deep convolutional neural networks (DCNNs) with alternating convolutional, pooling and decimation layers are widely used in computer vision, yet current works tend to focus on deeper networks with many layers and neurons, resulting in a high computational complexity. However, the recognition task is...

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Detalles Bibliográficos
Autores principales: Zhao, Zhenbing, Qi, Hongyu, Fan, Xiaoqing, Xu, Guozhi, Qi, Yincheng, Zhai, Yongjie, Zhang, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516894/
https://www.ncbi.nlm.nih.gov/pubmed/33286193
http://dx.doi.org/10.3390/e22040419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516894/
https://www.ncbi.nlm.nih.gov/pubmed/33286193
http://dx.doi.org/10.3390/e22040419

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