notesum.ai
Published at November 27Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
cs.CV
Released Date: November 27, 2024
Authors: Qiyu Wei1, Xun Xu2, Zeng Zeng1, Xulei Yang2
Aff.: 1School of Microelectronics, Shanghai University, Shanghai, China; 2Institute for Infocomm Research, A*Star, Singapore, Singapore

| Methods | Overall Results |
|---|---|
| ( Accuracy, Precision, Recall, F1 ) | |
| Resnet (Baseline) | 79.17%, 79.56%, 78.99%, 78.87% |
| + mean teacher | 81.14%, 82.55%, 81.15%, 81.29% |
| + SupConLoss | 84.13%, 85.53%, 83.37%, 82.98% |
| + mean teacher & SupConLoss | 84.63%, 86.24%, 84.41%, 83.40% |