most citedAcoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

eess.AS2020★ 2 cited

Acoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks

Chengwei Chen, Pan Chen, Lingyu Yang +4

Acoustic anomaly detection aims at distinguishing abnormal acoustic signals from the normal ones. It suffers from the class imbalance issue and the lacking in the abnormal instance…

cs.CV2020

Anomaly Detection by One Class Latent Regularized Networks

Chengwei Chen, Pan Chen, Haichuan Song +4

Anomaly detection is a fundamental problem in computer vision area with many real-world applications. Given a wide range of images belonging to the normal class, emerging from some…