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 ...
Abstract: To efficiently detect surface defects on integrated circuit (IC) chip packaging, an FCOS (Fully Convolutional One-Stage Object Detection) algorithm based on SENet (Squeeze-and-Excitation ...
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