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Jihyun Lee

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#machine learning Conference Open access Jul 2023

Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images

This paper proposes a novel contrastive learning scheme for knowledge distillation-based anomaly detection, namely Multiresolution Contrastive Distillation (MCD), which does not require positive/negative pairs with an anchor but operates by pulling/pushing the distance between the teacher and student features.

Jihyun Lee, Hangi Park, Yongmin Seo et al. · 3 citations

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