计算机应用与软件2024，Vol.41Issue(5)：153-157,263,6.DOI:10.3969/j.issn.1000-386x.2024.05.024
基于改进SSD的自然场景小交通标志检测
SMALL TRAFFIC SIGN DETECTION IN NATURAL SCENE BASED ON IMPROVED SSD
摘要
Abstract
In order to improve the accuracy of the of small traffic signs detection in complex natural traffic scenes,an improved SSD algorithm is proposed.Parallel multi-scale feature fusion was added to multiple detection layers of SSD.The combination of shallow and deep features compensated the disadvantages of the SSD model in its detections of the small targets.The attention mechanism was added in multiple detection heads of SSD model to enhance the feature extraction effect of small traffic signs.The focal loss function was applied to reduce the effect of the background to the overall loss and avoid overfitting to the background.The experimental results show that the mPA of detecting small traffic signs with the improved SSD model in the complex natural scenes is improved by 4.9 percentage points compared with the original model.关键词
SSD模型/小交通标志检测/多尺度特征融合/注意力机制Key words
SSD model/Small traffic sign detection/Multi-scale feature fusion/Attention mechanism分类
信息技术与安全科学引用本文复制引用
郭烊君,雷景生..基于改进SSD的自然场景小交通标志检测[J].计算机应用与软件,2024,41(5):153-157,263,6.基金项目
国家自然科学基金项目(61972357). （61972357）
