光学精密工程2025，Vol.33Issue(22)：3549-3563,15.DOI:10.37188/OPE.20253322.3549
RSF-DETR:空频增强与上下文重构的路面损伤检测
RSF-DETR:Road damage detection with space frequency enhancement and context reconstruction
摘要
Abstract
Aiming at the problems of various pavement-damage forms,low detection accuracy and high miss-detection rate,this paper proposed an improved method based on the RT-DETR model.First,in-spired by the joint idea of high-frequency edge enhancement in the spatial domain and global feature extrac-tion in the frequency domain,the spatial-frequency dual-domain feature-enhancement module FreSCal was designed to strengthen the model's ability to extract target and edge information and to improve its ca-pacity to distinguish target regions from background.Secondly,drawing on the context-guided feature-re-construction concept of the CGRSeg network,the context-guided spatial feature-reconstruction pyramid network RSDFPN was proposed.By building a scale-aware semantic pyramid and a dynamic feature-fu-sion mechanism,the model's capability to fuse features for multi-scale targets was significantly enhanced.Finally,through dynamic group convolution shuffling and the global modeling capacity of Transformer,ef-ficient spatial-domain feature enhancement and frequency-domain context fusion were achieved,raising the model's detection accuracy for target recognition.The experimental results show that the improved meth-od in this paper has achieved significant improvement on both RDD2022 and UAV-PDD2023 mainstream datasets,mAP@0.5 Compared with the baseline method,the indicators are increased by 1.9%and 3.7%respectively,which can provide an effective technical support for pavement damage detection.关键词
路面损伤检测/实时检测Transformer/空频双域/上下文引导重构/动态分组卷积混洗与Transformer协同优化模块Key words
pavement damage detection/Real-Time Detection Transformer(RT-DETR)/space fre-quency dual domain/context guided reconstruction/Dynamic Group Convolution Shuffle Transformer(DGCST)分类
信息技术与安全科学引用本文复制引用
ZHOU Dongmei,WU Bingbing,LIU Xiaoming,YAN Haowen,WU Xiaosuo..RSF-DETR:空频增强与上下文重构的路面损伤检测[J].光学精密工程,2025,33(22):3549-3563,15.基金项目
国家重点研发计划(No.2022YFB3903604) （No.2022YFB3903604）
甘肃省科技计划项目(No.24JRZA104) （No.24JRZA104）
"昆仑英才"人才引进科研项目(No.W2023-QLGKLYCZX-034) （No.W2023-QLGKLYCZX-034）
国家自然科学基金项目(No.62161016) （No.62161016）
科研培育计划项目(No.202301lwys021) （No.202301lwys021）
