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References

1 
Y. Park, I. S. Kweon, 2016, Ambiguous Surface Defect Image Classification of AMOLED Displays in Smart- phones, IEEE Trans. on Industrial Informatics, Vol. 12, No. 2, pp. 597-607DOI
2 
S. Ghorai, A. Mukherjee, M. Gangadaran, P. K. Dutta, 2013, Automatic Defect Detection on Hot-Rolled Flat Steel Products, IEEE Trans. on Instrumentation and Measurement, Vol. 62, No. 3, pp. 612-621DOI
3 
J.-K. Park, N. Kwon, J.-H. Park, D. Kang, 2016, Machine Learning-Based Imaging System for Surface Defect Inspection, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 3, No. 3, pp. 303-310DOI
4 
B.-K. Kwon, J.-S. Won, D.-J. Kang, 2015, Fast Defect Detection for Various Types of Surfaces Using Random Forest with VOV Features, International Journal of Precision Engineering and Manufacturing, Vol. 16, No. 5, pp. 965-970DOI
5 
H. Choi, K. Seo, 2017, CNN Based Detection of Surface Defects for Electronic Parts, Journal of Korean Institute of Intelligent Systems, Vol. 27, No. 3, pp. 195-200Google Search
6 
R. Girshick, J. Donahue, T. Darrell, J. Malik, 2016, Region- Based Convolutional Networks for Accurate Object Detection and Segmentation, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 38, No. 1, pp. 142-158DOI
7 
Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun, 2015, Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks, Advances in Neural Information Processing Systems, pp. 91-99DOI
8 
H. Choi, K. Seo, 2017, Comparison of CNN Structures for Detection of Surface Defects, The Transactions of the Korean Institute of Electrical Engineers, Vol. 66, No. 7, pp. 1100-1104DOI
9 
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, 2016, You Only Look Once: Unified, Real-Time Object Detection, in Proceedings of The IEEE Conference on Computer Vision and Pattern RecognitionDOI
10 
M. Lee, K. Seo, 2018, Comparison of CNN Methods for Defects Detection, in Proceedings of Information and Control Symposium ICS'2018, pp. 101-102Google Search
11 
K. Song, Y. Yan, NEU Surface Defect Database, http://faculty.neu.edu.cn/yunhyan/NEU_surface_defect_database.htmlGoogle Search
12 
Jetson TX1 Module, https://developer.nvidia.com/embedded/jetson-tx1Google Search
13 
Joseph Redmon, Ali Farhadi, 2018, YOLOv3: An Incremental Improvement, arXiv preprint arXiv:1804.02767Google Search
14 
Tiny YOLOv2, https://gallery.azure.ai/Model/Tiny-YOLOv2Google Search
15 
Y. J. Lee, Y. H. Moon, J. Y. Park, O. G. Min, 2019, Recent R&D Trends for Lightweight Deep Learning, ETRI Electronics and Telecommunications Trends, Vol. 34, No. 6, pp. 40-50Google Search