IQE-CLIP improves zero- and few-shot medical anomaly detection by building query embeddings that combine text prompts with visual features from each test image, beating prior CLIP-based methods on six BMAD datasets.
The MVTec anomaly detection dataset: a comprehensive real-world dataset for unsupervised anomaly detection.International Journal of Computer Vision, 129(4):1038–1059, 2021
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IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
IQE-CLIP improves zero- and few-shot medical anomaly detection by building query embeddings that combine text prompts with visual features from each test image, beating prior CLIP-based methods on six BMAD datasets.