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TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
- Researchers propose TailSampler and TailedCore for unsupervised long-tail noisy anomaly detection.
- Existing models suffer from trade-off between tail class and noise samples.
- TailSampler estimates class size of tail samples to handle them separately.
- TailedCore outperforms state-of-the-art in unsupervised long-tail noisy anomaly detection.
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