Self-Supervised Learning for Point-Cloud Classification by a Multigrid Autoencoder

It has become routine to directly process point clouds using a combination of shared multilayer perceptrons and aggregate functions. However, this practice has difficulty capturing the local information of point clouds, leading to information loss. Nevertheless, several recent works have proposed mo...

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Detalles Bibliográficos
Autores principales: Zhai, Ruifeng, Song, Junfeng, Hou, Shuzhao, Gao, Fengli, Li, Xueyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658469/
https://www.ncbi.nlm.nih.gov/pubmed/36365813
http://dx.doi.org/10.3390/s22218115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658469/
https://www.ncbi.nlm.nih.gov/pubmed/36365813
http://dx.doi.org/10.3390/s22218115

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