A Comprehensive Review of Deep Learning-Based Crack Detection Approaches

The application of deep architectures inspired by the fields artificial intelligence and computer vision has made a significant impact on task crack detection. As number studies being published in this field is growing fast, it important to categorize at deeper levels. In paper, comprehensive literature review learning-based detection contributions they have presented. are categorised according aspect levels facilitate exploring that utilised similar approaches address problem. Moreover, authors perform comparison between which use same publicly available data sets, order find most promising approaches. Critical future directions for research proposed, based these reviewed as well trends developments areas area.