Rpdnet: automatic fabric defect detection based on a convolutional neural network and repeated pattern analysis

HIGHLIGHTS

• who: Yubo Huang and Zhong Xiang from the Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China have published the research work: RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis, in the Journal: Sensors 2022, 6226 of /2022/
• what: In this paper semantic segmentation network using repeated pattern analysis algorithm is proposed for pixel-level of fabric defects which is termed RPDNet (repeated pattern defect network). Concurrently the authors propose semi-supervised learning scheme to inject the periodic knowledge into the model separately which enables . . .
  

   

  

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