Sep 2026
AnomalyMHKD: A multi-mode hybrid knowledge distillation approach for self-supervised detection of anomalous objects
The proposed AnomalyMHKD approach enhances anomaly detection by using self-supervised feature representations, achieving better performance with less dependence on labeled data.
J. Bhuvana, T. T. Mirnalinee, Harini Mohan et al.
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