Detection and localization of defects on natural leather surfaces
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03396-2.pdf
Reference34 articles.
1. Aslam M, Khan TM, Naqvi SS, Holmes G, Naffa R (2020) Ensemble convolutional neural networks with knowledge transfer for leather defect classification in industrial settings. IEEE Access 8:198600–198614
2. Bong H-Q, Truong Q-B, Nguyen H-C, Nguyen M-T (2018) Vision-based inspection system for leather surface defect detection and classification. In: 2018 5th NAFOSTED Conference on Information and Computer Science (NICS), IEEE, pp 300–304
3. Deng J, Dong W, Socher R, Li L-J, Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition. IEEE, pp 248–255
4. Deng J, Liu J, Wu C, Zhong T, Gu G, Ling BW-K (2020) A novel framework for classifying leather surface defects based on a parameter optimized residual network. IEEE Access 8:192109–192118
5. Everingham M, Van Gool L, Williams CK, Winn J, Zisserman A (2010) The pascal visual object classes (voc) challenge. Int J Comput Vis 88(2):303–338
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