Cross-modal food retrieval: Learning a joint embedding of food images and recipes with semantic consistency and attention mechanism;

Cross-modal food retrieval: Learning a joint embedding of food images and recipes with semantic consistency and attention mechanism;

Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, we investigate cross-modal retrieval between food images and cook...

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Bibliographic Details
Main Authors: WANG, Hao, SAHOO, Doyen, LIU, Chenghao, SHU, Ke, Palakorn, Achananuparp, LIM, Ee peng, HOI, Steven
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Correlation
Cross-Modal Retrieval
Data models
Deep Learning
Semantics
Sugar
Task analysis
Training
Visionand-Language
Visualization
Graphics and Human Computer Interfaces
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/6249
https://ink.library.smu.edu.sg/context/sis_research/article/7252/viewcontent/cross_modal_food_retrieval.pdf
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Institution: Singapore Management University
Language: English

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