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Updated: Nov 8, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
JRL-YOLO: A Novel Jump-Join Repetitious Learning Structure for Real-Time Dangerous Object Detection
Yiliang Zeng1,2,3, Lihao Zhang1,2, Jiahong Zhao4
1Department of Instrument Science and Technology, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
An improved YOLOv3-Tiny model, JRL-YOLO, enhances campus security by detecting dangerous objects and actions with higher accuracy and fewer parameters. This AI-driven solution boosts detection performance for safer environments.
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2026-06-19T13:39:00.017155+00:00
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