Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network

Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network

There has been an increase in the deterioration of buildings and infrastructure in dense urban regions, and several defects in the structures are being exposed. To ensure the effective diagnosis of building conditions, vision-based automatic damage recognition techniques have been developed. However...

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Bibliographic Details
Main Authors:	Hyun Kyu Shin, Yong Han Ahn, Sang Hyo Lee, Ha Young Kim
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Series:	Materials
Subjects:	concrete defects damage recognition convolutional neural network deep learning attention network
Online Access:	https://www.mdpi.com/1996-1944/13/23/5549

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