April 11, 2024, 4:45 a.m. | Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2307.12256v2 Announce Type: replace
Abstract: Buildings are the basic carrier of social production and human life; roads are the links that interconnect social networks. Building and road information has important application value in the frontier fields of regional coordinated development, disaster prevention, auto-driving, etc. Mapping buildings and roads from very high-resolution (VHR) remote sensing images have become a hot research topic. However, the existing methods often ignore the strong spatial correlation between roads and buildings and extract them in isolation. …

abstract application arxiv auto basic building buildings collaborative cs.ai cs.cv development disaster driving etc extraction fields human images information life mapping networks prevention production regional resolution roads social social networks type value via

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Data Tools - Full Stack

@ DoorDash | Pune, India

Senior Data Analyst

@ Artsy | New York City