建筑领域计算机视觉的效益实现管理（英文）
作者机构：School of Civil and Mechanical Engineering Curtin University School of Architecture and Built Environment Deakin University Geelong Waterfront Campus Department of Civil and Building Systems Technische Universit?t Berlin National Center of Technology Innovation for Digital Construction Huazhong University of Science and Technology School of Civil Engineering and Mechanics Huazhong University of Science and Technology
出 版 物：《Engineering》 (工程(英文))
年 卷 期：2023年第8期
页 面：11-13页
核心收录：
学科分类：08[工学] 081304[工学-建筑技术科学] 0813[工学-建筑学]
基 金：financial support of the Alexander von Humboldt-Stiftung the National Natural Science Foundation of China (U21A20151)
摘 要：1. Introduction While the applications of computer visions are varied in construction, research has tended to focus on measuring the accuracy of object detectors such as faster region-based-convolution neural networks (Faster R-CNN) and single shot detector algorithms (SDD)[1]. Limited, if any, attention has focused on determining the benefits of such technology in construction beyond the claims that it can help detect problems quickly and accurately. Reinforcing this point are the numerous review papers that have frequented the literature [2,3].
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