Search Results for author: Jiangpeng Shu

Found 2 papers, 0 papers with code

A comparative study of attention mechanism and generative adversarial network in facade damage segmentation

no code implementations27 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.

Generative Adversarial Network Segmentation +1

Crack Semantic Segmentation using the U-Net with Full Attention Strategy

no code implementations29 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.

Segmentation Semantic Segmentation

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