FoodMask: Real-time food instance counting, segmentation and recognition

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...

Full description

Saved in:
Bibliographic Details
Main Authors: NGUYEN, Huu-Thanh, CAO, Yu, NGO, Chong-wah, CHAN, Wing-Kwong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Food counting
Food instance segmentation
Food recognition
Databases and Information Systems
Food Science
Graphics and Human Computer Interfaces
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8321
https://ink.library.smu.edu.sg/context/sis_research/article/9324/viewcontent/FoodMask_av.pdf

Similar Items