Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding

Author:

Zhang Yan,Cui Xuehong,Liu Yun,Yu Bin

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,General Computer Science

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fine-Tuned Face Recognition Models for Sibling Discrimination;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

2. Tire defect detection based on low and high-level feature fusion;Measurement Science and Technology;2024-06-04

3. End-to-end tire defect detection model based on transfer learning techniques;Neural Computing and Applications;2024-04-22

4. Research on an Improved Car Tire Defect Detection Algorithm based on YOLOv5s;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

5. Ensemble deep learning based tire classification with CNNs and ViTs;International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023);2024-03-27

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