ECSNet: An Accelerated Real-Time Image Segmentation CNN Architecture for Pavement Crack Detection
Author:
Affiliation:
1. Department of Computer Science, Boise State University, Boise, ID, USA
2. Department of Civil Engineering, Boise State University, Boise, ID, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10339106/10214472.pdf?arnumber=10214472
Reference34 articles.
1. An Advanced Otsu Method Integrated with Edge Detection and Decision Tree for Crack Detection in Highway Transportation Infrastructure
2. DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
3. A Novel Road Maintenance Prioritisation System Based on Computer Vision and Crowdsourced Reporting
4. Images Crack Detection Technology based on Improved K-means Algorithm
5. The Method of the Road Surface Crack Detection by the Improved Otsu Threshold
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