Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

• Main Authors: Kim, Jinwoo, Kim, Daeho, Lee, SangHyun, Chi, Seokho
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Civil engineering; Visual Scene Understanding; Deep Neural Network
• Online Access: https://hdl.handle.net/10356/172882
• Institution: Nanyang Technological University

Although deep neural network (DNN)-powered visual scene understanding is a driving factor in a transition toward construction digitalization and robotic automation, a shortage of construction training images has been a roadblock to achieving DNNs' maximum performance potential. This data shorta...