From canteen food to daily meals: generalizing food recognition to more practical scenarios

• Main Authors: LIU, Guoshan, JIAO, Yang, CHEN, Jingjing, ZHU, Bin, JIANG, Yu-Gang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Food datasets; Food recognition; Unsupervised Domain Adaptation; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9011; https://ink.library.smu.edu.sg/context/sis_research/article/10014/viewcontent/zhu_tmm24.pdf
• Institution: Singapore Management University

The precise recognition of food categories plays a pivotal role for intelligent health management, attracting significant research attention in recent years. Prominent benchmarks, such as Food-101 and VIREO Food-172, provide abundant food image resources that catalyze the prosperity of research in t...