Using Variational Multi-view Learning for Classification of Grocery Items

An essential task for computer vision-based assistive technologies is to help visually impaired people to recognize objects in constrained environments, for instance, recognizing food items in grocery stores. In this paper, we introduce a novel dataset with natural images of groceries—fruits, vegeta...

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Detalles Bibliográficos
Autores principales: Klasson, Marcus, Zhang, Cheng, Kjellström, Hedvig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691398/
https://www.ncbi.nlm.nih.gov/pubmed/33294874
http://dx.doi.org/10.1016/j.patter.2020.100143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691398/
https://www.ncbi.nlm.nih.gov/pubmed/33294874
http://dx.doi.org/10.1016/j.patter.2020.100143

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