Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module
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Title
Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module
Authors
Keywords
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Journal
SENSORS
Volume 21, Issue 9, Pages 2902
Publisher
MDPI AG
Online
2021-04-22
DOI
10.3390/s21092902
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Note: Only part of the references are listed.- Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures
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- Deep learning based image recognition for crack and leakage defects of metro shield tunnel
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- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
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- Autonomous concrete crack detection using deep fully convolutional neural network
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- Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection
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- (2013) Hoang-Nam Nguyen et al. Journal of Signal Processing Systems for Signal Image and Video Technology
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