Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network

Documenti analoghi

• TerraSeg: Self-Supervised Ground Segmentation for Any LiDAR
  di: Lentsch, Ted, et al.
  Pubblicazione: (2026)
• UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
  di: Lentsch, Ted, et al.
  Pubblicazione: (2024)
• Fairness Without Labels: Pseudo-Balancing for Bias Mitigation in Face Gender Classification
  di: Dong, Haohua, et al.
  Pubblicazione: (2025)
• Heart Failure Prediction using Modal Decomposition and Masked Autoencoders for Scarce Echocardiography Databases
  di: Bell-Navas, Andrés, et al.
  Pubblicazione: (2025)
• YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components
  di: Svystun, Serhii, et al.
  Pubblicazione: (2025)