FoodMask: Real-time food instance counting, segmentation and recognition
Food computing has long been studied and deployed to several applications. Understanding a food image at the instance level, including recognition, counting and segmentation, is essential to quantifying nutrition and calorie consumption. Nevertheless, existing techniques are limited to either catego...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8321 https://ink.library.smu.edu.sg/context/sis_research/article/9324/viewcontent/FoodMask_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
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