Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types

YJ Cha, W Choi, G Suh… - … ‐Aided Civil and …, 2018 - Wiley Online Library
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 …
被引用次数：1404 相关文章

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 …

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 …
[PDF] researchgate.net

[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 …

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 …