Per-pixel quantile thresholding with excess aggregation matches autoencoder baselines on MIMII sound anomaly detection and provides built-in explanation maps.
Ono et al., Proceedings of the 5th Workshop on Detection and Classication of Acoustic Scenes and Events (DCASE 2020)
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Explainable anomaly detection for sound spectrograms using pooling statistics with quantile differences
Per-pixel quantile thresholding with excess aggregation matches autoencoder baselines on MIMII sound anomaly detection and provides built-in explanation maps.