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A Transformer-Based Capsule Network for 3D Part–Whole Relationship Learning
Learning the relationship between the part and whole of an object, such as humans recognizing objects, is a challenging task. In this paper, we specifically design a novel neural network to explore the local-to-global cognition of 3D models and the aggregation of structural contextual features in 3D...
Autores principales: | Chen, Yu, Zhao, Jieyu, Qiu, Qilu |
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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/PMC9141038/ https://www.ncbi.nlm.nih.gov/pubmed/35626562 http://dx.doi.org/10.3390/e24050678 |
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