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- W4283660806 abstract "Display front‐of‐screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the limited number of defective samples, has been a long‐standing problem that hinders the successful application of deep learning algorithms. Synthetic defect data generation can help address this issue. This paper reviews the state‐of‐the‐art synthetic data generation methods and the evaluation metrics that can potentially be applied to display FOS quality inspection tasks." @default.
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- W4283660806 date "2022-06-01" @default.
- W4283660806 modified "2023-09-26" @default.
- W4283660806 title "72‐4: <i>Invited Paper:</i> Synthetic Defect Generation for Display Front‐of‐Screen Quality Inspection: A Survey" @default.
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- W4283660806 doi "https://doi.org/10.1002/sdtp.15659" @default.
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