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Keyword

surface defect detection

Description: Surface defect detection is the identification and localization of flaws on material or manufactured-product surfaces, often using imaging methods.
OpenAlex ID: keywords/surface-defect-detection
YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection
2023 · Muhammad Hussain · Machines · 1,209
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DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection
2021 · Vitjan Zavrtanik, Matej Kristan, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1,072
Segmentation-based deep-learning approach for surface-defect detection
2019 · Domen Tabernik, Samo Šela, et al. · Journal of Intelligent Manufacturing · 985
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PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection
2019 · Hongwen Dong, Kechen Song, et al. · IEEE Transactions on Industrial Informatics · 556
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection
2022 · Nianyin Zeng, Peishu Wu, et al. · IEEE Transactions on Instrumentation and Measurement · 526
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A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
2008 · Xianghua Xie · ELCVIA Electronic Letters on Computer Vision and Image Analysis · 499
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Surface defect saliency of magnetic tile
2018 · Yibin Huang, Congying Qiu, et al. · The Visual Computer · 457
Surface Defect Detection Methods for Industrial Products: A Review
2021 · Yajun Chen, Yuanyuan Ding, et al. · Applied Sciences · 450
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Mixed supervision for surface-defect detection: From weakly to fully supervised learning
2021 · Jakob Božič, Domen Tabernik, et al. · Computers in Industry · 375
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Image-Based Surface Defect Detection Using Deep Learning: A Review
2021 · Prahar M. Bhatt, Rishi K. Malhan, et al. · Journal of Computing and Information Science in Engineering · 365
Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD
2018 · Yiting Li, Haisong Huang, et al. · Applied Sciences · 324
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Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review
2023 · Alireza Saberironaghi, Jing Ren, et al. · Algorithms · 319
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Machine learning-based imaging system for surface defect inspection
2016 · Je-Kang Park, Bae-Keun Kwon, et al. · International Journal of Precision Engineering and Manufacturing-Green Technology · 311
Synthetic data augmentation for surface defect detection and classification using deep learning
2020 · Saksham Jain, Gautam Seth, et al. · Journal of Intelligent Manufacturing · 301
Automated surface defect detection framework using machine vision and convolutional neural networks
2022 · Swarit Anand Singh, K. A. Desai · Journal of Intelligent Manufacturing · 288
Recent advances in surface defect inspection of industrial products using deep learning techniques
2021 · Xiaoqing Zheng, Song Zheng, et al. · The International Journal of Advanced Manufacturing Technology · 285
A survey on generative adversarial networks for imbalance problems in computer vision tasks
2021 · Vignesh Sampath, Iñaki Maurtua, et al. · Journal Of Big Data · 260
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MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
2023 · Minghui Yang, Peng Wu, et al. · Engineering Applications of Artificial Intelligence · 252
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Automatic surface defect detection for mobile phone screen glass based on machine vision
2016 · Chuanxia Jian, Jian Gao, et al. · Applied Soft Computing · 242
A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications
2024 · Rahima Khanam, Muhammad Hussain, et al. · IEEE Access · 241
An improved Otsu method using the weighted object variance for defect detection
2015 · Xiao-cui Yuan, Lu-shen Wu, et al. · Applied Surface Science · 229
A systematic review of deep learning approaches for surface defect detection in industrial applications
2023 · Rasoul Ameri, Chung-Chian Hsu, et al. · Engineering Applications of Artificial Intelligence · 218
An efficient lightweight convolutional neural network for industrial surface defect detection
2023 · Dehua Zhang, Xinyuan Hao, et al. · Artificial Intelligence Review · 210
Giant magnetoresistance-based eddy-current sensor
2001 · T. Dogaru, S.T. Smith · IEEE Transactions on Magnetics · 207
Steel Surface Defect Recognition: A Survey
2022 · Xin Wen, Jvran Shan, et al. · Coatings · 198
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Works count: 5,883
Citation count: 49,300
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