no code implementations • 27 Sep 2022 • Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu, Raimar J. Scherer
Attention mechanism and generative adversarial networks are two of the most popular strategies to improve the quality of semantic segmentation.
no code implementations • 23 May 2021 • Jiesheng Yang, Fangzheng Lin, Yusheng Xiang, Peter Katranuschkov, Raimar J. Scherer
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 crack-like features, such as cracks and joints.
no code implementations • 29 Apr 2021 • Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu, Raimar J. Scherer
Along with the rapid progress of deep learning technology, image semantic segmentation, an active research field, offers another solution, which is more effective and intelligent, to crack detection Through numerous artificial neural networks have been developed to address the preceding issue, corresponding explorations are never stopped improving the quality of crack detection.