Addressing Class Scarcity and Imbalance for Few-Shot Detection of Wind Turbine Blade Surface Defects
Abstract: Wind turbine blade (WTB) surface defect detection often suffers from severe class imbalance and limited annotated data, making conventional deep learning approaches impractical. Few-shot ...
Navigating the complexity of modern high-performance machine vision systems - A Baumer White Paper Modern industrial manufacturing has reached a critical inflection point. Machine vision is no longer ...
“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...
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