Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
YJ Cha, W Choi, G Suh, S Mahmoudkhani… - Computer-Aided Civil …, 2017 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Computer vision‐based techniques were
developed to overcome the limitations of visual inspection by trained human resources and …
developed to overcome the limitations of visual inspection by trained human resources and …
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
YJ Cha, W Choi, G Suh, S Mahmoudkhani… - Computer‐Aided Civil …, 2018 - dl.acm.org
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …
[PDF][PDF] Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types
YJ Cha, W Choi, G Suh, S Mahmoudkhani - researchgate.net
Computer vision-based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types.
YJ Cha, W Choi, G Suh… - … -Aided Civil & …, 2018 - search.ebscohost.com
Abstract: Computer vision‐based techniques were developed to overcome the limitations of
visual inspection by trained human resources and to detect structural damage in images …
visual inspection by trained human resources and to detect structural damage in images …