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

The goal of unsupervised surface anomaly detection is to detect areas of the image that are different from the normal pattern, which can be considered as a semantic segmentation problem oriented to anomalous patterns. However, this problem is challenging due to the lack of actual available anomaly s...

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