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Research on Improved YOLOV5 Algorithm for Dense Pedestrian Detection
Graphic and Image Processing | 更新时间:2024-12-30
    • Research on Improved YOLOV5 Algorithm for Dense Pedestrian Detection

    • In the field of object detection, the FPCA-YOLOV5 algorithm effectively improves the detection accuracy and recall rate of the model through feature fusion technology.
    • Software Guide   Vol. 23, Issue 12, Pages: 249-254(2024)
    • DOI:10.11907/rjdk.232297    

      CLC: TP391.41
    • Published:16 December 2024

      Received:23 December 2023

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  • ZHOU Longgang,WEI Benchang,WEI Hongao,et al.Research on Improved YOLOV5 Algorithm for Dense Pedestrian Detection[J].Software Guide,2024,23(12):249-254. DOI: 10.11907/rjdk.232297.

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