R2GAN: Cross-modal recipe retrieval with generative adversarial network

• Main Authors: ZHU, Bin, NGO, Chong-wah, CHEN, Jingjing, HAO, Yanbin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Categorization; Image and Video Synthesis; Recognition: Detection; Representation Learning; Retrieval; Vision + Language; Data Storage Systems; Graphics and Human Computer Interfaces; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/6456; https://ink.library.smu.edu.sg/context/sis_research/article/7459/viewcontent/Zhu_R2GAN_Cross_Modal_Recipe_Retrieval_With_Generative_Adversarial_Network_CVPR_2019_paper.pdf
• Institution: Singapore Management University

Representing procedure text such as recipe for crossmodal retrieval is inherently a difficult problem, not mentioning to generate image from recipe for visualization. This paper studies a new version of GAN, named Recipe Retrieval Generative Adversarial Network (R2GAN), to explore the feasibility of...