计算机工程与应用2025，Vol.61Issue(22)：245-256,12.DOI:10.3778/j.issn.1002-8331.2408-0017
联合元素乘法算子与通道剪枝的钢材表面缺陷检测网络
Steel Surface Defect Detection Network Combining Element-Wise Multiplication Operators and Channel Pruning
摘要
Abstract
To address the challenge of real-time and high-precision defect detection on resource-constrained devices,a steel surface defect detection network is proposed which combines element-wise multiplication operators with channel pruning.To enhance the ability to capture defect characteristics,a feature space expansion module(FSEM)and an edge feature extraction module are designed,and a lightweight and efficient feature extraction network(LENet)is developed using a four-layer hierarchical architecture.To improve the effective fusion of multi-scale features,an adaptive multi-scale feature fusion network(AMFN)is constructed using the adaptive fusion(AW-Fusion)module based on channel-prior con-volutional attention(CPCA)and FSEM within a feature pyramid architecture.To reduce network complexity and improve detection speed,channel pruning is employed for backend compression.Related experiments are conducted on the NEU-DET dataset to validate the effectiveness and superiority of the proposed network.Experimental results indicate that the pruned network achieves an accuracy of 78.1%and a speed of 179.8 FPS under low complexity,meeting practical applica-tion requirements.关键词
元素乘法算子/钢材表面/缺陷检测/通道剪枝Key words
element-wise multiplication operators/steel surface/defect detection/channel pruning分类
计算机与自动化引用本文复制引用
杨春龙,吕东澔,张勇,田旭,王城智..联合元素乘法算子与通道剪枝的钢材表面缺陷检测网络[J].计算机工程与应用,2025,61(22):245-256,12.基金项目
国家自然科学基金(62263026) （62263026）
内蒙古自治区自然科学基金(2024MS06024) （2024MS06024）
内蒙古自治区一流学科科研专项(YLXKZX-NKD-020) （YLXKZX-NKD-020）
内蒙古自治区直属高校基本科研业务费项目(2024YXXS024,2023QNJS194). （2024YXXS024,2023QNJS194）
