Cutting Pattern Positioning Method Based on Improved ROI Pooling of R2CNN

Author:

Geng Lei1,Liu Yang2,Xiao Zhitao1,Tong Jun3,Zhang Fang1,Wu Jun1

Affiliation:

1. School of Life Sciences, TianGong University, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China

2. School of Electronics and Information Engineering, Tiangong University, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China

3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia

Funder

Tianjin Natural Science Foundation

The Program for Innovative Research Team in University of Tianjin

Publisher

ACM

Reference17 articles.

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2. and apparatus for cutting pieces of cloth for use in quilts or the like;Method;U.S. Patent,1996

3. Li pengfei ai yonghongjing jun feng et al. Research on defect detection and positioning system of garment cutting pieces [J]. Journal of electronic measurement and instrumentation 2017 30 (12): 1982--1991. Li pengfei ai yonghongjing jun feng et al. Research on defect detection and positioning system of garment cutting pieces [J]. Journal of electronic measurement and instrumentation 2017 30 (12): 1982--1991.

4. Chen yujun. Research on fabric flaw detection method based on deep convolutional neural network [D]. Guangdong: guangdong university of technology 2018. Chen yujun. Research on fabric flaw detection method based on deep convolutional neural network [D]. Guangdong: guangdong university of technology 2018.

5. Shi tiantian. Research on fabric defect detection based on deep learning [D]. Zhejiang: zhejiang university of science and technology 2018. Shi tiantian. Research on fabric defect detection based on deep learning [D]. Zhejiang: zhejiang university of science and technology 2018.

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