Research on an Improved Car Tire Defect Detection Algorithm based on YOLOv5s
Author:
Affiliation:
1. Wuhan University of Technology,Wuhan,China,430000
2. Dalian Neusoft University of Information,School of Computer and Software,Dalian,China,116023
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603481.pdf?arnumber=10603481
Reference10 articles.
1. Defect Classification on Automobile Tire Inner Surfaces using Convolutional Neural Networks
2. Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding
3. Tire Defects Classification with Multi-Contrast Convolutional Neural Networks
4. Tire defect classification using a deep convolutional sparse-coding network
5. Tire defect classification using a deep convolutional sparse-coding network
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