PlaneNet: an efficient local feature extraction network

Due to memory and computing resources limitations, deploying convolutional neural networks on embedded and mobile devices is challenging. However, the redundant use of the 1 × 1 convolution in traditional light-weight networks, such as MobileNetV1, has increased the computing time. By utilizing the...

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Detalles Bibliográficos
Autores principales: Lin, Bin, Su, Houcheng, Li, Danyang, Feng, Ao, Li, Hongxiang, Li, Jiao, Jiang, Kailin, Jiang, Hongbo, Gong, Xinyao, Liu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670390/
https://www.ncbi.nlm.nih.gov/pubmed/34977350
http://dx.doi.org/10.7717/peerj-cs.783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670390/
https://www.ncbi.nlm.nih.gov/pubmed/34977350
http://dx.doi.org/10.7717/peerj-cs.783

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