HIGHLIGHTS
SUMMARY
The use of unmanned aerial vehicle (UAV) remote sensing has had a wealth of applications in the civil sector, including monitoring climate change, assisting in search and rescue operations, and maintenance in the construction industry. Long et_al proposed a helmet detection method based on YOLOv5 to improve the efficiency of helmet-wearing detection. At the same time, the model complexity is low, and the authors propose an attention-weighted fusion network so that a deeper network with more powerful semantic information can improve the efficiency of the network for small target detection. Although it . . .
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