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JRCC-Net: A Segmentation Network with Joint Representation and Contrast Clustering for Surface Anomaly Detection.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT(2023)

Cited 3|Views21
Key words
Anomaly detection,Image reconstruction,Training,Task analysis,Feature extraction,Data models,Predictive models,Anomaly simulation,contrast clustering,joint representation,semantic segmentation,surface anomaly detection
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