most citedImproved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 3 cited

Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks

Zongqing Qi, Danqing Ma, Jingyu Xu +2

In recent years, there have been frequent incidents of foreign objects intruding into railway and Airport runways. These objects can include pedestrians, vehicles, animals, and deb…