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Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation

Publication ,  Conference
Yang, C; Li, H; Chen, Y; Hu, J
Published in: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
January 1, 2020

Wafer inspection locates defects at early fabrication stages and traditionally focuses on pixel-level defects. However, there are very few solutions that can effectively detect largescale defects. In this work, we leverage Convolutional Neural Networks (CNNs) to automate the wafer inspection process and propose several techniques to preprocess and augment wafer images for enhancing our model's generalization on unseen wafers (e.g., from other fabs). Cross-fab experimental results of both wafer-level and pixel-level detections show that the F1 score increases from 0.09 to 0.77 and the Precision-Recall area under curve (PR AUC) increases from 0.03 to 0.62 using our proposed method.

Duke Scholars

Published In

Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

DOI

Publication Date

January 1, 2020

Volume

2020-January

Start / End Page

145 / 150
 

Citation

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Yang, C., Li, H., Chen, Y., & Hu, J. (2020). Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation. In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC (Vol. 2020-January, pp. 145–150). https://doi.org/10.1109/ASP-DAC47756.2020.9045391
Yang, C., H. Li, Y. Chen, and J. Hu. “Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation.” In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 2020-January:145–50, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045391.
Yang C, Li H, Chen Y, Hu J. Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation. In: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2020. p. 145–50.
Yang, C., et al. “Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation.” Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, vol. 2020-January, 2020, pp. 145–50. Scopus, doi:10.1109/ASP-DAC47756.2020.9045391.
Yang C, Li H, Chen Y, Hu J. Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2020. p. 145–150.

Published In

Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

DOI

Publication Date

January 1, 2020

Volume

2020-January

Start / End Page

145 / 150