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Showing 1 to 1 of 1 for “"industrial anomaly detection"”.
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Generalizing Under Data Scarcity. Enhancing the representation capability from few samples.
… adoption of deep learning in both research and industrial contexts has revealed a central limitation: many real-world applications lack large, diverse, and reliably labeled datasets. This challenge is particularly evident in domains where data acquisition is costly, error-prone, or inherently …