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Segmentation-based deep-learning approach for surface-defect detection

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Cited by:

  1. David Ornelas & Daniel Canedo & António J. R. Neves, 2025. "Semantic Segmentation of Corrosion in Cargo Containers Using Deep Learning," Sustainability, MDPI, vol. 17(14), pages 1-28, July.
  2. Dexing Shan & Yunzhou Zhang & Shitong Liu, 2025. "Multi-modal background-aware for defect semantic segmentation with limited data," Journal of Intelligent Manufacturing, Springer, vol. 36(5), pages 3313-3325, June.
  3. Jingyu Yang & Haochen Wang & Ziyang Song & Feng Guo & Huanjing Yue, 2025. "Efficient textile anomaly detection via memory guided distillation network," Journal of Intelligent Manufacturing, Springer, vol. 36(6), pages 4201-4216, August.
  4. José M. Navarro-Jiménez & José V. Aguado & Grégoire Bazin & Vicente Albero & Domenico Borzacchiello, 2023. "Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2345-2358, June.
  5. Xiaoheng Jiang & Jian Feng & Feng Yan & Yang Lu & Quanhai Fa & Wenjie Zhang & Mingliang Xu, 2025. "Foreground–background separation transformer for weakly supervised surface defect detection," Journal of Intelligent Manufacturing, Springer, vol. 36(6), pages 4217-4232, August.
  6. Abtin Djavadifar & John Brandon Graham-Knight & Marian Kӧrber & Patricia Lasserre & Homayoun Najjaran, 2022. "Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2257-2275, December.
  7. Yuanyuan Wang & Ling Ma & Lihua Jian & Huiqin Jiang, 2023. "Conductive particle detection via efficient encoder–decoder network," Journal of Intelligent Manufacturing, Springer, vol. 34(8), pages 3563-3577, December.
  8. Ruiyang Hao & Bingyu Lu & Ying Cheng & Xiu Li & Biqing Huang, 2021. "A steel surface defect inspection approach towards smart industrial monitoring," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1833-1843, October.
  9. Changqing Wang & Maoxuan Sun & Yuan Cao & Kunyu He & Bei Zhang & Zhonghao Cao & Meng Wang, 2023. "Lightweight Network-Based Surface Defect Detection Method for Steel Plates," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
  10. Chun Fai Lui & Ahmed Maged & Min Xie, 2024. "A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3543-3558, October.
  11. Rong Luo & Ruihu Chen & Fengting Jia & Biru Lin & Jie Liu & Yafei Sun & Xinbo Yang & Weikuan Jia, 2023. "RBD-Net: robust breakage detection algorithm for industrial leather," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2783-2796, August.
  12. Zhenxing Cheng & Hu Wang & Gui-Rong Liu, 2021. "Deep convolutional neural network aided optimization for cold spray 3D simulation based on molecular dynamics," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1009-1023, April.
  13. Feiyang Li & Nian Cai & Xueliang Deng & Jiahao Li & Jianfa Lin & Han Wang, 2022. "Serial number inspection for ceramic membranes via an end-to-end photometric-induced convolutional neural network framework," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1373-1392, June.
  14. Saksham Jain & Gautam Seth & Arpit Paruthi & Umang Soni & Girish Kumar, 2022. "Synthetic data augmentation for surface defect detection and classification using deep learning," Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 1007-1020, April.
  15. Jiaqi Zhao & Xiaolong Qian & Yunzhou Zhang & Dexing Shan & Xiaozheng Liu & Sonya Coleman & Dermot Kerr, 2024. "A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 841-857, February.
  16. Li Wei & Mahmud Iwan Solihin & Sarah ‘Atifah Saruchi & Winda Astuti & Lim Wei Hong & Ang Chun Kit, 2024. "Surface Defects Detection of Cylindrical High-Precision Industrial Parts Based on Deep Learning Algorithms: A Review," SN Operations Research Forum, Springer, vol. 5(3), pages 1-71, September.
  17. Zichen Bai & Junfeng Jing, 2024. "Mobile-Deeplab: a lightweight pixel segmentation-based method for fabric defect detection," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3315-3330, October.
  18. Shuo Meng & Ruru Pan & Weidong Gao & Jian Zhou & Jingan Wang & Wentao He, 2021. "A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1147-1161, April.
  19. Shuanlong Niu & Yaru Peng & Bin Li & Yuanhong Qiu & Tongzhi Niu & Weifeng Li, 2024. "A novel deep learning motivated data augmentation system based on defect segmentation requirements," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 687-701, February.
  20. Jae-Eun Park & Young-Keun Kim, 2025. "Semi-supervised learning for steel surface inspection using magnetic flux leakage signal," Journal of Intelligent Manufacturing, Springer, vol. 36(2), pages 1021-1031, February.
  21. Guzmán-Torres, J.A. & Domínguez-Mota, F.J. & Alonso Guzmán, E.M. & Tinoco-Guerrero, G. & Tinoco-Ruíz, J.G., 2025. "A digital twin approach based method in civil engineering for classification of salt damage in building evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 233(C), pages 433-447.
  22. Aleksandr Dekhovich & Miguel A. Bessa, 2025. "Continual learning for surface defect segmentation by subnetwork creation and selection," Journal of Intelligent Manufacturing, Springer, vol. 36(5), pages 3051-3065, June.
  23. Swarit Anand Singh & K. A. Desai, 2023. "Automated surface defect detection framework using machine vision and convolutional neural networks," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1995-2011, April.
  24. Nhat-To Huynh & Duong-Dong Ho & Hong-Nguyen Nguyen, 2023. "An Approach for Designing an Optimal CNN Model Based on Auto-Tuning GA with 2D Chromosome for Defect Detection and Classification," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
  25. Nhat-To Huynh, 2024. "A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification," Journal of Intelligent Manufacturing, Springer, vol. 35(4), pages 1781-1792, April.
  26. Danqing Kang & Jianhuang Lai & Junyong Zhu & Yu Han, 2023. "An adaptive feature reconstruction network for the precise segmentation of surface defects on printed circuit boards," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 3197-3214, October.
  27. Zeqing Yang & Mingxuan Zhang & Yingshu Chen & Ning Hu & Lingxiao Gao & Libing Liu & Enxu Ping & Jung Il Song, 2024. "Surface defect detection method for air rudder based on positive samples," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 95-113, January.
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