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[Paper Review] AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP Analytics Table

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발표자 : 석사과정 손준영([email protected]) 1. 논문 제목 : AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP(CVPR 2025, 인용 수 : 0회) 2. 논문 링크 - (arXiv) : https://arxiv.org/pdf/2503.06661 - (github) : https://github.com/Mwxinnn/AA-CLIP 3. Overview - CLIP의 Anomaly-Unawareness를 지적하고, 이를 개선한 ZSAD 방법론 Anomaly-Aware CLIP(AA-CLIP) 제안 - 2단계 학습 전략을 통해 anomaly-aware information을 CLIP에 주입 - Residual Adapter를 활용해 CLIP의 강력한 일반화 능력을 보존 - Industrial/Medical 분야의 2-shot/ 16-shot/ 64-shot per class 및 full-shot setting에서 좋은 ZSAD 성능을 보임

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