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Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification
Research article (IEEE Transactions on Semiconductor Manufacturing, 2021) · cited 52× · AI/ML
Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification
Summary
Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification is a scholarly article[1].
Key Facts
Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-data-augmentation-and-mask-r-cnn-based-instance-segmentation-method-for-mixed-type-wafer-maps-defect-patterns-c
MLA“Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-data-augmentation-and-mask-r-cnn-based-instance-segmentation-method-for-mixed-type-wafer-maps-defect-patterns-c.
BibTeX@misc{4ortxyz_applying-data-augmentation-and-mask-r-cnn-based-instance-segmentation-method-for-mixed-type-wafer-maps-defect-patterns-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification}}, year = {2026}, url = {https://4ort.xyz/entity/applying-data-augmentation-and-mask-r-cnn-based-instance-segmentation-method-for-mixed-type-wafer-maps-defect-patterns-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying Data Augmentation and Mask R-CNN-Based Instance Segmentation Method for Mixed-Type Wafer Maps Defect Patterns Classification — https://4ort.xyz/entity/applying-data-augmentation-and-mask-r-cnn-based-instance-segmentation-method-for-mixed-type-wafer-maps-defect-patterns-c (retrieved 2026-05-24)
