External Attention Based TransUNet and Label Expansion Strategy for Crack Detection-Reference-Cited by-同舟云学术

External Attention Based TransUNet and Label Expansion Strategy for Crack Detection

Published:2022-10 Issue:10 Volume:23 Page:19054-19063
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Fang Jie¹^ORCID,Yang Chen²,Shi Yuetian³,Wang Nan³^ORCID,Zhao Yang⁴^ORCID

Affiliation:

1. School of Telecommunication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, Shaanxi, China

2. Ministry of Science and Technology, Pudong Development Bank, Xi’an, Shaanxi, China

3. Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China

4. College of Transportation Engineering, Chang’an University, Xi’an, Shaanxi, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09737387.pdf?arnumber=9737387

Reference41 articles.

1. Saliency filters: Contrast based filtering for salient region detection

2. Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

3. Automated pavement crack detection and segmentation based on two‐step convolutional neural network

4. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

5. DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

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