Adaptive few-shot image augmentation for fine-grained industrial defects based on region-level modeling

This publication has 18 references indexed in Scilit:

• Out-of-focus artifact removal for Fresnel incoherent correlation holography by deep learning
  Optics and Lasers in Engineering, 2024
• ALADA: A lite automatic data augmentation framework for industrial defect detection
  Advanced Engineering Informatics, 2023
• Uncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation
  Computers in Industry, 2023
• A data generation method with dual discriminators and regularization for surface defect detection under limited data
  Computers in Industry, 2023
• Anomaly-GAN: A data augmentation method for train surface anomaly detection
  Expert Systems with Applications, 2023
• A transformed-feature-space data augmentation method for defect segmentation
  Computers in Industry, 2023
• A novel MAS-GAN-based data synthesis method for object surface defect detection
  Neurocomputing, 2022
• A Method for Classification of Surface Defect on Metal Workpieces Based on Twin Attention Mechanism Generative Adversarial Network
  IEEE Sensors Journal, 2021
• Automated Sewer Defects Detection Using Style-Based Generative Adversarial Networks and Fine-Tuned Well-Known CNN Classifier
  IEEE Access, 2021
• A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection
  IEEE Access, 2020