Sequential transfer learning based on hierarchical clustering for improved performance in deep learning based food segmentation
Abstract Accurately segmenting foods from optical images is a challenging task, yet becoming possible with the help of recent advances in Deep Learning based solutions. Automated identification of food items opens up possibilities of useful applications like nutrition intake monitoring. Given large...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/d8ba52c9b7714b63971be8b054b8cae2 |
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