计算机工程与应用2025，Vol.61Issue(4)：122-129,8.DOI:10.3778/j.issn.1002-8331.2309-0292
基于注意力解码和连续性监督的裂缝检测方法
Crack Detection Method Based on Attention Decoder and Continuous Supervision
摘要
Abstract
Crack detection is an important measure to prevent building collapse accidents.Aiming at the weak crack fea-ture and interference from noise in crack images,encoder-decoder nets in semantic segmentation are introduced to improve the detection robustness.An attention decoder module which enhances the attention of the crack feature in decoder through attention mechanism is designed to address the shortcomings of the simple decoder in traditional encoder-decoder nets and the low efficiency of connecting the semantic information in encoding features.For the problem of cracks frac-ture in predictions,the continuous supervision algorithm is improved,by adding adjacency connected predictions and combining the corresponding loss function for supervision,the continuity of crack features in prediction results is improved.Combining these two methods,an automatic encoder-decoder crack detection model is proposed.The experimental results on two datasets verify the superiority of the proposed model,the best detection accuracy is achieved among the commonly used models selected.关键词
裂缝检测/语义分割/编码解码/注意力机制/连续性监督Key words
crack detection/semantic segmentation/encoder-decoder/attention mechanism/continuous supervision分类
计算机与自动化引用本文复制引用
谢永华,卓安南..基于注意力解码和连续性监督的裂缝检测方法[J].计算机工程与应用,2025,61(4):122-129,8.基金项目
国家自然科学基金(62076123). （62076123）
