Stacked workpieces detection algorithm based on improved YOLOv5-Reference-Cited by-同舟云学术

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Stacked workpieces detection algorithm based on improved YOLOv5

Published:2024-04-27 Issue:5 Volume:47 Page:544-555
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Liang Jianan¹,Zhang Jinhua¹,Kong Ruiling¹,Bian Xingrui¹,Chen Lirong¹

Affiliation:

1. College of Physics and Electronic Engineering, Shanxi University, Taiyuan, China

Funder

State Council and the central government guide local funds of China

Natural Science Young Foundation of Shanxi Province

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2024.2346491

Reference31 articles.

1. A Series-Based Deep Learning Approach to Lung Nodule Image Classification

2. Soft-NMS — Improving Object Detection with One Line of Code

3. Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images

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