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Zero-shot anomaly detection via batch normalization
Anomaly detection (AD) plays a crucial role in many safety-critical application domains. The
challenge of adapting an anomaly detector to drift in the normal data distribution, especially …
challenge of adapting an anomaly detector to drift in the normal data distribution, especially …
Anomalous sound detection using audio representation with machine ID based contrastive learning pretraining
Existing contrastive learning methods for anomalous sound detection refine the audio
representation of each audio sample by using the contrast between the samples' …
representation of each audio sample by using the contrast between the samples' …
[HTML][HTML] Regularized contrastive masked autoencoder model for machinery anomaly detection using diffusion-based data augmentation
Unsupervised anomalous sound detection, especially self-supervised methods, plays a
crucial role in differentiating unknown abnormal sounds of machines from normal sounds …
crucial role in differentiating unknown abnormal sounds of machines from normal sounds …
Machine anomalous sound detection based on audio synthesis generative adversarial network
T Cheng, F Guo - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
In the pursuit of implementing safety monitoring within Industry 4.0 smart production, deep
learning methodologies are employed to harness the audio signals emanating from the …
learning methodologies are employed to harness the audio signals emanating from the …
[КНИГА][B] Deep Anomaly Detection and Distribution Shifts
A Li - 2024 - search.proquest.com
Anomaly detection is important in various applications, from cyber-security, transportation,
industry, and finance to healthcare. The anomaly detection problem is to identify anomalies …
industry, and finance to healthcare. The anomaly detection problem is to identify anomalies …