12 citations · 16 across the 4 of their papers we have counts for
4 papers
Continual-learning-based framework for structural damage recognition
Jiangpeng Shu, Jiawei Zhang, Reachsak Ly +2
Multi-damage is common in reinforced concrete structures and leads to the requirement of large number of neural networks, parameters and data storage, if convolutional neural netwo…
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation
Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu +1
Semantic segmentation profits from deep learning and has shown its possibilities in handling the graphical data from the on-site inspection. As a result, visual damage in the facad…
Fast Crack Detection Using Convolutional Neural Network
Jiesheng Yang, Fangzheng Lin, Yusheng Xiang +2
To improve the efficiency and reduce the labour cost of the renovation process, this study presents a lightweight Convolutional Neural Network (CNN)-based architecture to extract c…
Crack Semantic Segmentation using the U-Net with Full Attention Strategy
Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu +1
Structures suffer from the emergence of cracks, therefore, crack detection is always an issue with much concern in structural health monitoring. Along with the rapid progress of de…