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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |