Data-centric approach

To conduct a thorough examination of building infrastructure and develop a deeper understanding of human-urban dynamics, this study introduced a multi-task network, MT-BR, to extract unified building information. This study proposed a method for selecting representative samples for robust network training that considers both their location and the features of the urban environment they represent, so that they can be used effectively across large urban landscapes.