AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection
AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection explores AdapTS is a lightweight Teacher-Student framework for efficient multi-class and continual visual anomaly detection optimized for edge deployment.. Commercial viability score: 7/10 in Visual Anomaly Detection.
Updated 2 days ago
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