Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection?
Kevin WilkinghoffFrank KurthPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2024)
Keyphrases
- semi supervised
- anomaly detection
- detection method
- detecting anomalous
- false alarms
- automatic detection
- detection algorithm
- object detection
- pairwise
- multi view
- semi supervised learning
- false positives
- support vector
- unsupervised learning
- knn
- event detection
- detection rate
- computer vision
- detection accuracy
- machine learning