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

2 citations · 3 across the 2 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★ 1 cited

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…