Application of Improved YOLOV3 in Pedestrian Target Detection

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更新时间：2022-04-26

- Application of Improved YOLOV3 in Pedestrian Target Detection
- Software Guide Vol. 21, Issue 4, Pages: 220-225(2022)
- 作者机构：
  
  山东科技大学计算机科学与工程学院，山东青岛 266590
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.211845
  CLC：
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刘金涛.基于改进YOLOv3算法的行人目标检测研究[J].软件导刊,2022,21(04):220-225.

LIU Jin-tao.Application of Improved YOLOV3 in Pedestrian Target Detection[J].Software Guide,2022,21(04):220-225.
刘金涛.基于改进YOLOv3算法的行人目标检测研究[J].软件导刊,2022,21(04):220-225. DOI： 10.11907/rjdk.211845.

LIU Jin-tao.Application of Improved YOLOV3 in Pedestrian Target Detection[J].Software Guide,2022,21(04):220-225. DOI： 10.11907/rjdk.211845.

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