Leather defect classification and segmentation using deep learning architecture-Reference-Cited by-同舟云学术

Leather defect classification and segmentation using deep learning architecture

Published:2020-07-30 Issue:10-11 Volume:33 Page:1105-1117
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Liong Sze-Teng¹^ORCID,Zheng Danna²,Huang Yen-Chang³,Gan Y. S.⁴

Affiliation:

1. Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan R.O.C

2. School of Electrical and Computing Engineering, Xiamen University Malaysia, Sepang, Malaysia

3. Department of Applied Mathematics, National University of Tainan, Taiwan R.O.C

4. School of Architecture, Feng Chia University, Taichung, Taiwan, R.O.C

Funder

Ministry of Science and Technology, Taiwan

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

Reference24 articles.

Cited by 34 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

2. Automotive Seat Surface Defect Detection Method Based on Improved YOLOv5 Algorithm;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

3. Cross Stage Partial Modulated Convolution Net for Leather Defect Detection;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07