Rethinking 1D convolution for lightweight semantic segmentation

Lightweight semantic segmentation promotes the application of semantic segmentation in tiny devices. The existing lightweight semantic segmentation network (LSNet) has the problems of low precision and a large number of parameters. In response to the above problems, we designed a full 1D convolution...

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Detalles Bibliográficos
Autores principales: Zhang, Chunyu, Xu, Fang, Wu, Chengdong, Xu, Chenglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947531/
https://www.ncbi.nlm.nih.gov/pubmed/36845064
http://dx.doi.org/10.3389/fnbot.2023.1119231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947531/
https://www.ncbi.nlm.nih.gov/pubmed/36845064
http://dx.doi.org/10.3389/fnbot.2023.1119231

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