Research on the Application of YOLOv8 Model Based on ODConv and SAHI Optimization in Dense Small Target Crowd Detection-Reference-Cited by-同舟云学术

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Research on the Application of YOLOv8 Model Based on ODConv and SAHI Optimization in Dense Small Target Crowd Detection

Published:2024-04-26 Issue: Volume:57 Page:726-732
ISSN:
Container-title:2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)
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Author:

Guan Xiaotao¹,Guan Zifan²,Zhu Sicaiyu²,Chen Bingcai¹

Affiliation:

1. School of Computer Science and Technology Dalian University of Technology,Dalian,China

2. School of Mechanical Engineering Dalian University of Technology,Dalian,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10545644/10545608/10545676.pdf?arnumber=10545676

Reference13 articles.

1. Variational Pedestrian Detection

2. Research on frame regression loss function in object detection[J];Cuiwen;Computer Engineering and Applications,2021

3. Improved algorithm for long -distance and small-size pedestrian detection in complex background[J];Yongming;Computer Engineering and Design,2021

4. Double anchor R -CNN for human detection in a crowd[J];Zhang;arXiv preprint,2019

5. Research on small-scale pedestrian detection with improved SSD algorithm in traffic scenario[J];Huilan;Computer Engineering and Applications,2022

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