Cargando…
Deep Learning for Retail Product Recognition: Challenges and Techniques
Taking time to identify expected products and waiting for the checkout in a retail store are common scenes we all encounter in our daily lives. The realization of automatic product recognition has great significance for both economic and social progress because it is more reliable than manual operat...
Autores principales: | Wei, Yuchen, Tran, Son, Xu, Shuxiang, Kang, Byeong, Springer, Matthew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676964/ https://www.ncbi.nlm.nih.gov/pubmed/33273903 http://dx.doi.org/10.1155/2020/8875910 |
Ejemplares similares
-
A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition
por: Le, Viet-Tuan, et al.
Publicado: (2022) -
Lean retail can lean production help retailers to address global challenges ?
por: Fauser, Simon G, et al.
Publicado: (2012) -
Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models
por: Abbaschian, Babak Joze, et al.
Publicado: (2021) -
Fruit Classification for Retail Stores Using Deep Learning
por: Rojas-Aranda, Jose Luis, et al.
Publicado: (2020) -
Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges
por: Akber, Syed Muhammad Abrar, et al.
Publicado: (2023)