A human-machine adversarial scoring framework for urban perception assessment using street-view images-Reference-Cited by-同舟云学术

A human-machine adversarial scoring framework for urban perception assessment using street-view images

Author:

Yao Yao¹²^ORCID,Liang Zhaotang³^ORCID,Yuan Zehao¹,Liu Penghua⁴^ORCID,Bie Yongpan¹,Zhang Jinbao⁴⁵^ORCID,Wang Ruoyu⁴⁶,Wang Jiale⁷,Guan Qingfeng¹^ORCID

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, China

2. Alibaba Group, Hangzhou, Zhejiang, China

3. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong

4. School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China

5. Tencent Technology Inc., Shenzhen, Guangdong, China

6. Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK

7. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Fundamental Research Founds for National University, China University of Geosciences(Wuhan)

Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

Reference57 articles.

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