AugMoCrack: Augmented morphological attention network for weakly supervised crack detection-Reference-Cited by-同舟云学术

AugMoCrack: Augmented morphological attention network for weakly supervised crack detection

Published:2022-06-24 Issue:17 Volume:58 Page:651-653
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electronics Letters

Author:

Hong Younggi¹,Lee Sung‐Jin¹,Yoo Seok Bong¹^ORCID

Affiliation:

1. Department of Artificial Intelligence Convergence Chonnam National University Gwangju South Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12562

Reference14 articles.

1. DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

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

3. Inoue Y. et al.:Crack detection as a weakly‐supervised problem: Towards achieving less annotation‐intensive crack detectors. In:22th International Conference on Pattern Recognition Milan Italy pp.65–72(2020)

4. KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection

5. Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CAC: Confidence-Aware Co-Training for Weakly Supervised Crack Segmentation;Entropy;2024-04-12

2. The repeat rent model in the presence of variable deposits;Applied Economics Letters;2024-04

3. A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress;International Journal of Transportation Science and Technology;2024-03

4. Auxcoformer: Auxiliary and Contrastive Transformer for Robust Crack Detection in Adverse Weather Conditions;Mathematics;2024-02-27

5. An Algorithm for Crack Detection, Segmentation, and Fractal Dimension Estimation in Low-Light Environments by Fusing FFT and Convolutional Neural Network;Fractal and Fractional;2023-11-14