Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks-Reference-Cited by-同舟云学术

Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks

Published:2022-06-25 Issue:14 Volume:37 Page:1914-1931
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Chu Honghu¹,Wang Wei¹²,Deng Lu¹²

Affiliation:

1. College of Civil Engineering Hunan University Changsha China

2. Key Laboratory of Damage Diagnosis for Engineering Structures of Hunan Province Hunan University Changsha China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12881

Reference76 articles.

1. Enhanced probabilistic neural network with local decision circles: A robust classifier

2. Automatic pixel-wise detection of evolving cracks on rock surface in video data

3. A dynamic ensemble learning algorithm for neural networks

4. Use of Unmanned Aircraft Systems for Bridge Inspection: A Review

5. Structural crack detection using deep convolutional neural networks

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