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Recursive neural programs: A differentiable framework for learning compositional part-whole hierarchies and image grammars
Human vision, thought, and planning involve parsing and representing objects and scenes using structured representations based on part-whole hierarchies. Computer vision and machine learning researchers have recently sought to emulate this capability using neural networks, but a generative model for...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637337/ https://www.ncbi.nlm.nih.gov/pubmed/37954157 http://dx.doi.org/10.1093/pnasnexus/pgad337 |