计算机应用与软件2025，Vol.42Issue(6)：202-209,8.DOI:10.3969/j.issn.1000-386x.2025.06.026
基于FPT改进的Mask RCNN算法的道路信息检测研究
ROAD INFORMATION DETECTION BASED ON IMPROVED MASK RCNN ALGORITHM OF FPT
摘要
Abstract
In view of the poor effect of target detection algorithm applied to road information target detection and the problems of missed detection and false detection,an improved mask RCNN road information detection algorithm based on FPT(feature pyramid transformer)is proposed to help urban road construction to improve the quality of work.In the feature fusion network,FPT based on transformer idea was introduced to replace the original FPN to fuse features across space and scale,so as to achieve the effect of feature enhancement and improve the accuracy of model detection.In the experiment,the idea of transfer learning was used to pre-train PASCAL-VOC2012 data set,and the pre-training weight was obtained.The experimental results show that the average accuracy of the algorithm is improved by 7.5/10.6 percentage points compared with the original algorithm when ResNet50/ResNet101 is used respectively,and the performance on small targets is better than other commonly-used algorithms.关键词
道路信息检测/Mask RCNN算法/特征融合/FPT/TransformerKey words
Road information detection/Mask RCNN algorithm/Feature fusion/FPT/Transformer分类
信息技术与安全科学引用本文复制引用
范博森,左云波,徐小力,王林枫..基于FPT改进的Mask RCNN算法的道路信息检测研究[J].计算机应用与软件,2025,42(6):202-209,8.基金项目
国家自然科学基金项目(51975058) （51975058）
北京市教委促进高校内涵发展重点培育项目(5212010976). （5212010976）
