Performance comparison of YOLOv5n with various modifications.

<p>Performance comparison of YOLOv5n with various modifications.</p>

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Bibliografiset tiedot
Päätekijä:	Delun Lai (22394723) (author)
Muut tekijät:	Kai Kang (195645) (author), Ke Xu (134879) (author), Xuzhe Ma (22394726) (author), Yue Zhang (30585) (author), Fengling Huang (19356064) (author), Jishizhan Chen (15273712) (author)
Julkaistu:	2025
Aiheet:	Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified unmanned aerial vehicle severe scale variations reducing task conflicts lightweight yolov5n model independently processes regression improving localization precision experimental results demonstrate conventional fusion techniques achieves higher accuracy significantly benefiting applications resolution remote sensing grained features essential detecting small objects traditional detection methods scale object detection resolution features time applications small targets xlink "> urban planning typically lost specifically designed rapid advancement msfe ), facilitated dynamic environmental complexities enhanced version disaster management decoupled head classification tasks
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