Cross-lingual adaptation for recipe retrieval with mixup

• Main Authors: ZHU, Bin, NGO, Chong-Wah, CHEN, Jingjing, CHAN, Wing-Kwong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: recipe retrieval; mixup; cross-lingual; domain adaptation; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7502; https://ink.library.smu.edu.sg/context/sis_research/article/8505/viewcontent/3512527.3531375.pdf
• Institution: Singapore Management University

Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate recipe-image pairs covering the majority of cuisines for supervised learning is difficult if not impossible. By transfer...