Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection

Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection

An autonomous concrete crack inspection system is necessary for preventing hazardous incidents arising from deteriorated concrete surfaces. In this paper, we present a concrete crack detection framework to aid the process of automated inspection. The proposed approach employs a deep convolutional ne...

Full description

Bibliographic Details
Main Authors: Umme Hafsa Billah, Hung Manh La, Alireza Tavakkoli
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
convolutional neural network
encoder-decoder architecture
semantic segmentation
feature silencing
crack detection
Online Access:https://www.mdpi.com/1424-8220/20/16/4403

Internet

https://www.mdpi.com/1424-8220/20/16/4403

Similar Items