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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |