Graph Convolutional Network for 3D Object Pose Estimation in a Point Cloud

Graph Neural Networks (GNNs) are neural networks that learn the representation of nodes and associated edges that connect it to every other node while maintaining graph representation. Graph Convolutional Neural Networks (GCNs), as a representative method in GNNs, in the context of computer vision,...

Descripción completa

Detalles Bibliográficos
Autores principales: Jung, Tae-Won, Jeong, Chi-Seo, Kim, In-Seon, Yu, Min-Su, Kwon, Soon-Chul, Jung, Kye-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656959/
https://www.ncbi.nlm.nih.gov/pubmed/36365864
http://dx.doi.org/10.3390/s22218166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656959/
https://www.ncbi.nlm.nih.gov/pubmed/36365864
http://dx.doi.org/10.3390/s22218166

Ejemplares similares