Automotive Seat Surface Defect Detection Method Based on Improved YOLOv5 Algorithm-Reference-Cited by-同舟云学术

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Automotive Seat Surface Defect Detection Method Based on Improved YOLOv5 Algorithm

Published:2024-06-07 Issue: Volume:28 Page:57-62
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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Author:

Zhang Juchao¹,Yu Changlin¹,Wang Gang²,Xu Chunling³,Pang Zaixiang²,Sun Zhongbo¹

Affiliation:

1. Changchun University of Technology,Department of Control Science and Engineering,Changchun,China

2. Changchun University of Technology,Department of Mechanical and Electrical Engineering,Changchun,China

3. Changchun Humanities and Sciences College,Department of Public and Basic Computer Education,Changchun,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598777.pdf?arnumber=10598777

Reference13 articles.

1. Leather Inspection Based on Wavelets

2. Leather defect classification and segmentation using deep learning architecture

3. Surface Defect Detection of Highly Reflective Leather Based on Dual-Mask-Guided Deep-Learning Model

4. Recent advances in convolutional neural networks

5. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Advances in Neural Information Processing Systems,2015

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