Mixed dish recognition through multi-label learning

• Main Authors: WANG, Yunan, CHEN, Jing-Jing, NGO, Chong-wah, CHUA, Tat-Seng, ZUO, Wanli, MING, Zhaoyan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Mix dish recognition; Multi-label recogniition; Multiscale; Region-wise; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6501; https://ink.library.smu.edu.sg/context/sis_research/article/7504/viewcontent/3326458.3326929.pdf
• Institution: Singapore Management University

Mix dish recognition, whose goal is to identify each of the dish type presented on one plate, is generally regarded as a difficult problem. The major challenge of this problem is that different dishes presented in one plate may overlap with each other and there may be no clear boundaries among them....