Approach state detection of lightweight steel sections based on improved YOLOv8-pose
Author:
Affiliation:
1. Anhui University of Technology,School of Electrical and Information Engineering,Ma’anshan,Anhui,China
2. Anhui University of Technology,School of Electrical and Information Engineering,Ma’anshan,Anhui,China,243032
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603545.pdf?arnumber=10603545
Reference26 articles.
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3. Recognition of Knee Osteoarthritis (KOA) Using YOLOv2 and Classification Based on Convolutional Neural Network
4. Pedestrian detection based on YOLOv3 multimodal data fusion
5. A Study on Object Detection Performance of YOLOv4 for Autonomous Driving of Tram
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