Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios
Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. In this paper, we propose LAP-YOLO (Lightweight Aggregate Perception based on “You Only Look O...
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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/10965668/ |
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| author | Anjun Yu Zhichao Rao Yonghua Xiong Jinhua She |
| author_facet | Anjun Yu Zhichao Rao Yonghua Xiong Jinhua She |
| author_sort | Anjun Yu |
| collection | DOAJ |
| description | Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. In this paper, we propose LAP-YOLO (Lightweight Aggregate Perception based on “You Only Look Once”), which integrates a Feature-Aware Aggregation (FAA) module to enhance feature representation and a Lightweight Information Diffusion (LID) detection head to improve small-object detection efficiency with minimal computational overhead. Experimental results demonstrate that LAP-YOLO surpasses other real-time models on the safety equipment dataset, achieving a 39% reduction in parameters and a 57% decrease in FLOPs compared to YOLOv8, while maintaining detection accuracy under the same conditions. This lightweight and effective approach presents a promising solution for enhancing construction site safety. |
| format | Article |
| id | doaj-art-db3f43ebb0374fd18f3a3aad061294b6 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-db3f43ebb0374fd18f3a3aad061294b62025-08-20T02:12:02ZengIEEEIEEE Access2169-35362025-01-0113663936640410.1109/ACCESS.2025.356066410965668Lightweight Detection Methods for Multi-Scale Targets in Complex ScenariosAnjun Yu0Zhichao Rao1https://orcid.org/0009-0002-0418-6503Yonghua Xiong2https://orcid.org/0000-0002-8672-0193Jinhua She3https://orcid.org/0000-0003-3165-5045Jiangxi Ganyue Expressway Company Ltd., Nanchang, ChinaSchool of Automation, China University of Geosciences (Wuhan), Wuhan, ChinaSchool of Automation, China University of Geosciences (Wuhan), Wuhan, ChinaSchool of Automation, China University of Geosciences (Wuhan), Wuhan, ChinaDetecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. In this paper, we propose LAP-YOLO (Lightweight Aggregate Perception based on “You Only Look Once”), which integrates a Feature-Aware Aggregation (FAA) module to enhance feature representation and a Lightweight Information Diffusion (LID) detection head to improve small-object detection efficiency with minimal computational overhead. Experimental results demonstrate that LAP-YOLO surpasses other real-time models on the safety equipment dataset, achieving a 39% reduction in parameters and a 57% decrease in FLOPs compared to YOLOv8, while maintaining detection accuracy under the same conditions. This lightweight and effective approach presents a promising solution for enhancing construction site safety.https://ieeexplore.ieee.org/document/10965668/Complex backgroundlightweightmulti-scalesafety equipment |
| spellingShingle | Anjun Yu Zhichao Rao Yonghua Xiong Jinhua She Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios IEEE Access Complex background lightweight multi-scale safety equipment |
| title | Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios |
| title_full | Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios |
| title_fullStr | Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios |
| title_full_unstemmed | Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios |
| title_short | Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios |
| title_sort | lightweight detection methods for multi scale targets in complex scenarios |
| topic | Complex background lightweight multi-scale safety equipment |
| url | https://ieeexplore.ieee.org/document/10965668/ |
| work_keys_str_mv | AT anjunyu lightweightdetectionmethodsformultiscaletargetsincomplexscenarios AT zhichaorao lightweightdetectionmethodsformultiscaletargetsincomplexscenarios AT yonghuaxiong lightweightdetectionmethodsformultiscaletargetsincomplexscenarios AT jinhuashe lightweightdetectionmethodsformultiscaletargetsincomplexscenarios |