An enhanced SegGPT model with scribble-based prompting auto-labels display defects, reaching about 60 percent coverage with downstream performance comparable to human labels.
81‐1: Invited Paper: Data Augmentation for Applying Deep Learning to Display Manufacturing Defect Detection
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Using In-Context Learning for Automatic Defect Labelling of Display Manufacturing Data
An enhanced SegGPT model with scribble-based prompting auto-labels display defects, reaching about 60 percent coverage with downstream performance comparable to human labels.