RST: Rough Set Transformer for Point Cloud Learning

Point cloud data generated by LiDAR sensors play a critical role in 3D sensing systems, with applications encompassing object classification, part segmentation, and point cloud recognition. Leveraging the global learning capacity of dot product attention, transformers have recently exhibited outstan...

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Detalles Bibliográficos
Autores principales: Sun, Xinwei, Zeng, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674457/
https://www.ncbi.nlm.nih.gov/pubmed/38005431
http://dx.doi.org/10.3390/s23229042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674457/
https://www.ncbi.nlm.nih.gov/pubmed/38005431
http://dx.doi.org/10.3390/s23229042

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