One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection

Feb-16-2026, 14:38:43 GMT–Neural Information Processing Systems

Traditional Anomaly Detection (AD) methods have predominantly relied on unsupervised learning from extensive normal data.

artificial intelligence, data mining, machine learning, (18 more...)

Neural Information Processing Systems

Feb-16-2026, 14:38:43 GMT

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Country:
- Asia > China
  - Beijing > Beijing (0.04)
  - Shanghai > Shanghai (0.04)

Genre:
- Research Report
  - Experimental Study (0.93)
  - New Finding (0.68)

Industry:
- Health & Medicine > Diagnostic Medicine > Imaging (0.68)

Technology:
- Information Technology
  - Artificial Intelligence > Machine Learning
    - Neural Networks > Deep Learning (0.67)
  - Data Science > Data Mining
    - Anomaly Detection (1.00)

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One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection

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