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wafer-defect-detection

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Research-driven wafer defect classification framework combining classical ML and CNN-based approaches, with experimental analysis of few-shot learning under severe class imbalance and limited data regimes.

  • Updated Jun 26, 2026
  • Jupyter Notebook

ResNet-18 wafer defect classifier trained on WM-811K — focal loss, CBAM attention, TTA, and Grad-CAM++ explainability. Macro-F1 0.916 on the 9-class labeled subset.

  • Updated Jul 5, 2026
  • Python

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