Improving Unsupervised Ultrasonic Image Anomaly Detection via Frequency-Spatial Feature Filtering and Gaussian Mixture Modeling
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Ultrasonic image anomaly detection faces significant challenges due to limited labeled data, strong structural and random noise, and highly diverse defect manifestations. To overcome these obstacles, we introduce UltraChip, a new large-scale C-scan benchmark c... ...
