Knowledge enhanced neural fashion trend forecasting

• Main Authors: MA, Yunshan, DING, Yujuan, YANG, Xun, LIAO, Lizi, WONG, Wai Keung, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Fashion Trend Forecasting; Fashion Analysis; Time Series Forecasting; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7568; https://ink.library.smu.edu.sg/context/sis_research/article/8571/viewcontent/3372278.3390677.pdf
• Institution: Singapore Management University

Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fashion elements with highly seasonal or simple patterns, which could hardly reveal the real fashion trends. Towards insigh...