RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection
To address UAV-based detection challenges including scale variation, high target density, and hardware limitations, we propose RFHS-RTDETR with four innovations: (1) RMConv, a reparameterized lightweight module for efficient multi-scale feature extraction; (2) FSConv fusing Scharr operator and Fouri...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11072410/ |
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| author | Songtao Tang Leiming Zhang Xudong Liu Rongfu Lv Ruyi Qin |
| author_facet | Songtao Tang Leiming Zhang Xudong Liu Rongfu Lv Ruyi Qin |
| author_sort | Songtao Tang |
| collection | DOAJ |
| description | To address UAV-based detection challenges including scale variation, high target density, and hardware limitations, we propose RFHS-RTDETR with four innovations: (1) RMConv, a reparameterized lightweight module for efficient multi-scale feature extraction; (2) FSConv fusing Scharr operator and Fourier transform to enhance edge preservation and robustness; (3) AH module combining HiLo attention for dense target recognition; (4) SOPS Feature Pyramid with hierarchical feature integration of P2 features and dynamic upsampling for small objects. On VisDrone2019, RFHS-RTDETR reduces FLOPs and parameters by 16.2% and 34.3% versus RT-DETR-R18, while improving precision by 2.2%, mAP50 by 2%, and FPS by 17.1%.These advancements demonstrate its practicality for resource-constrained aerial scenarios. |
| format | Article |
| id | doaj-art-fe67b296726b4e0eacc035ed9b5c5795 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-fe67b296726b4e0eacc035ed9b5c57952025-08-20T02:40:11ZengIEEEIEEE Access2169-35362025-01-011312168612170310.1109/ACCESS.2025.358664911072410RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object DetectionSongtao Tang0Leiming Zhang1https://orcid.org/0009-0003-7889-610XXudong Liu2Rongfu Lv3Ruyi Qin4College of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang, ChinaCollege of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang, ChinaLuoyang CloudTek Optoelectronics Technology Company, Luoyang, ChinaCollege of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang, ChinaCollege of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang, ChinaTo address UAV-based detection challenges including scale variation, high target density, and hardware limitations, we propose RFHS-RTDETR with four innovations: (1) RMConv, a reparameterized lightweight module for efficient multi-scale feature extraction; (2) FSConv fusing Scharr operator and Fourier transform to enhance edge preservation and robustness; (3) AH module combining HiLo attention for dense target recognition; (4) SOPS Feature Pyramid with hierarchical feature integration of P2 features and dynamic upsampling for small objects. On VisDrone2019, RFHS-RTDETR reduces FLOPs and parameters by 16.2% and 34.3% versus RT-DETR-R18, while improving precision by 2.2%, mAP50 by 2%, and FPS by 17.1%.These advancements demonstrate its practicality for resource-constrained aerial scenarios.https://ieeexplore.ieee.org/document/11072410/RT-DETRUAVsmall target detectionSOPS feature pyramidlightweight |
| spellingShingle | Songtao Tang Leiming Zhang Xudong Liu Rongfu Lv Ruyi Qin RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection IEEE Access RT-DETR UAV small target detection SOPS feature pyramid lightweight |
| title | RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection |
| title_full | RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection |
| title_fullStr | RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection |
| title_full_unstemmed | RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection |
| title_short | RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection |
| title_sort | rfhs rtdetr multi domain collaborative network with hierarchical feature integration for uav based object detection |
| topic | RT-DETR UAV small target detection SOPS feature pyramid lightweight |
| url | https://ieeexplore.ieee.org/document/11072410/ |
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