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A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity
Handling objects or interacting with a human user about objects on a shared tabletop requires that objects be identified after learning from a small number of views and that object pose be estimated. We present a neurally inspired architecture that learns object instances by storing features extract...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408094/ https://www.ncbi.nlm.nih.gov/pubmed/28503145 http://dx.doi.org/10.3389/fnbot.2017.00023 |