DEEP CASCADED NEURAL NETWORKS FOR AUTOMATIC DETECTION OF STRUCTURAL DAMAGE AND CRACKS FROM IMAGES

6 citations as recorded by crossref.

1. Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification, segmentation, and detection G. Yang et al. 10.1016/j.conbuildmat.2022.129226
2. A Method for Detecting Pathologies in Concrete Structures Using Deep Neural Networks J. Nogueira Diniz et al. 10.3390/app13095763
3. DFP-Net: A Crack Segmentation Method Based on a Feature Pyramid Network L. Li et al. 10.3390/app14020651
4. Evolutionary Computation Modelling for Structural Health Monitoring of Critical Infrastructure C. Tumrate et al. 10.1007/s11831-022-09845-1
5. Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events Y. Bai et al. 10.1177/14759217221083649
6. DcsNet: a real-time deep network for crack segmentation J. Pang et al. 10.1007/s11760-021-02034-w