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

• المؤلفون الرئيسيون: GUAN, Weili, CHEN, Zhaozheng, FENG, Fuli, LIU, Weifeng, NIE, Liqiang
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2021
• الموضوعات: Urban perception; urban attributes; regional interactions; deep multi-task learning; Numerical Analysis and Scientific Computing; Theory and Algorithms; Urban Studies
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7150; https://ink.library.smu.edu.sg/context/sis_research/article/8153/viewcontent/3424115_pv.pdf

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...