Dual attention deep learning network for automatic steel surface defect segmentation

• المؤلفون الرئيسيون: Pan, Yue, Zhang, Limao
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Civil engineering; Crack Detection; Channel Coding
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162500
• المؤسسة: Nanyang Technological University

A dual attention deep learning network is developed to classify three types of steel defects, locate their positions, and depict their shapes on the steel surface in an automatic and accurate manner. The novel pixel-level detection algorithm called DAN-DeepLabv3+ integrates a dual attention module i...