UPANets: Learning from the Universal Pixel Attention Neworks

With the successful development in computer vision, building a deep convolutional neural network (CNNs) has been mainstream, considering the character of shared parameters in a convolutional layer. Stacking convolutional layers into a deep structure improves performance, but over-stacking also ramps...

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Detalles Bibliográficos
Autores principales: Tseng, Ching-Hsun, Lee, Shin-Jye, Feng, Jianan, Mao, Shengzhong, Wu, Yu-Ping, Shang, Jia-Yu, Zeng, Xiao-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497600/
https://www.ncbi.nlm.nih.gov/pubmed/36141129
http://dx.doi.org/10.3390/e24091243

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497600/
https://www.ncbi.nlm.nih.gov/pubmed/36141129
http://dx.doi.org/10.3390/e24091243

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