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MuSc: Zero-shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of The Unlable Images

Harin Lim

2024.09.13

Anomaly Detection

MuSc: Zero-shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of The Unlable Images

VENUE2024 ICLR

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이전 글BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

다음 글AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models