Research on application of object detection based on yolov5 in construction site-Reference-Cited by-同舟云学术

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Research on application of object detection based on yolov5 in construction site

Published:2023-05-06 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Advanced Computational Intelligence (ICACI)
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Author:

Yang Xiaojiao¹,Xie Yuhao²,Yang Siwei²,Liang Pei²,He Yun³,Yang Jun³,Peng Yan¹,He Yuechuan¹

Affiliation:

1. Sichuan Institute of Building Research,Chengdu,China

2. China Jiliang University,College of Optical and Electronic Technology,Hangzhou,China

3. Wuhan University of Technology,School of Information Engineering,Wuhan,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10146108/10146127/10146151.pdf?arnumber=10146151

Reference20 articles.

1. Detection Approach Based on an Improved Faster RCNN for Brace Sleeve Screws in High-Speed Railways

2. Rich feature hierarchies for accurate object detection and semantic segmentation;girshick;Computer Vision and Pattern Recognition (CVPR),2014

3. SSD-MSN: An Improved Multi-Scale Object Detection Network Based on SSD

4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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