MSF-YOLOv11n: A Multi-Scale Feature Fusion-Based Efficient Detector for Small and Occluded Object Detection in Complex Traffic Scenes

Detecting small and occluded objects in complex traffic scenes remains a major challenge for intelligent transportation systems, including the difficulty in balancing high accuracy and low computational cost. To address these challenges, this paper proposes an innovative MSF-YOLOv11n model. With a m...

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Bibliografische gegevens

Hoofdauteurs:	Sheng Xu, Zhongpei Sun, Hong Xu, Wei Huang, Qiqiang Chen, Hongjie He
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2026-01-01
Reeks:	IEEE Access
Onderwerpen:	Object detection YOLOv11 attention mechanism small-object detection intelligent transportation
Online toegang:	https://ieeexplore.ieee.org/document/11359178/
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