Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts

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Generalized out-of-distribution detection and beyond in vision language model era: A survey

A Miyai, J Yang, J Zhang, Y Ming, Y Lin, Q Yu… - ar** and memory bank mean guidance-based network for high-performance few-shot industrial anomaly detection
A Luo, G Wen, Y Cheng, S Mei, H Dong, X Liu - Neurocomputing, 2024 - Elsevier
For deep learning-based industrial anomaly detection, it is still challenging to get adequate
images for model training and achieve cold start for cross-product migration, restricting their …
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