Urban perception: Sensing cities via a deep interactive multi-task learning framework

• Main Authors: GUAN, Weili, CHEN, Zhaozheng, FENG, Fuli, LIU, Weifeng, NIE, Liqiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Urban perception; urban attributes; regional interactions; deep multi-task learning; Numerical Analysis and Scientific Computing; Theory and Algorithms; Urban Studies
• Online Access: https://ink.library.smu.edu.sg/sis_research/7150; https://ink.library.smu.edu.sg/context/sis_research/article/8153/viewcontent/3424115_pv.pdf
• Institution: Singapore Management University

Social scientists have shown evidence that visual perceptions of urban attributes, such as safe, wealthy, and beautiful perspectives of the given cities, are highly correlated to the residents' behaviors and quality of life. Despite their significance, measuring visual perceptions of urban attr...