Swarm Intelligence-Enhanced Detection of Small Objects Using Key Point-Driven YOLO

Shaolong Han, Shangrong Wang, Wenqi Liu, YongQiang Gu and Yujie Zhang
Additional contact information
Shaolong Han: Hebei Baisha Tobacco Co., Ltd., China
Shangrong Wang: Hebei Baisha Tobacco Co., Ltd., China
Wenqi Liu: Hebei Baisha Tobacco Co., Ltd., China
YongQiang Gu: Hebei Baisha Tobacco Co., Ltd., China
Yujie Zhang: Hebei Baisha Tobacco Co., Ltd., China

International Journal of Swarm Intelligence Research (IJSIR), 2025, vol. 16, issue 1, 1-20

Abstract: Traditional object detection methods, such as anchor-based YOLO variants, face challenges due to the irregular shapes and small sizes of these contaminants. This paper introduces a novel approach that leverages swarm Intelligence to enhance the performance of a keypoint-driven YOLO framework. By integrating keypoint detection with Boundary-Aware Vectors (BBAVectors) and utilizing swarm intelligence algorithms for model optimization, our approach improves the localization and identification of small, irregularly shaped non-metallic objects. By optimizing the feature extraction process through swarm-based techniques and incorporating keypoint-driven object detection, our model significantly boosts precision and recall compared to traditional methods. Evaluated on a custom dataset of fiber like materials, our approach achieves a mean Average Precision (mAP) of 92.9% at IoU 0.5, demonstrating strong performance in real-world applications.

Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.368649 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:16:y:2025:i:1:p:1-20

Access Statistics for this article

International Journal of Swarm Intelligence Research (IJSIR) is currently edited by Yuhui Shi

More articles in International Journal of Swarm Intelligence Research (IJSIR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().