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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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