GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention

We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achieves state-of-the-art performance. Food segmentation is an important problem as the first step for nutrition monitoring, food volume and calorie estimation. Our novel architecture incorporates both chan...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharma, Udit, Artacho, Bruno, Savakis, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624046/
https://www.ncbi.nlm.nih.gov/pubmed/34833577
http://dx.doi.org/10.3390/s21227504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624046/
https://www.ncbi.nlm.nih.gov/pubmed/34833577
http://dx.doi.org/10.3390/s21227504

Ejemplares similares