Learning cross-modal embeddings with adversarial networks for cooking recipes and food images

• Main Authors: WANG, Hao, SAHOO, Doyen, LIU, Chenghao, LIM, Ee-Peng, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Big Data; Categorization; Large Scale Methods; Recognition; Detection; Retrieval; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4425; https://ink.library.smu.edu.sg/context/sis_research/article/5428/viewcontent/6._LEARNING_CROSS_MODAL_EMBEDDINGS_WITH_ADVERSARIAL_NETWORKS_FOR_COOKING_RECIPES_AND_FOOD_IMAGES__CVPR2019_.pdf
• Institution: Singapore Management University

Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and healthy lifestyle. An important task under the food-computing umbrella is retrieval, which is particularly helpful for heal...