most citedDomain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning

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

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2 papers

cs.SD2022★ 1 cited

Domain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning

Jing-ke Yan, Xin Wang, Qin Wang +5

Thanks to the development of deep learning, research on machine anomalous sound detection based on self-supervised learning has made remarkable achievements. However, there are dif…

cs.CV2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation

Xiaofeng Liu, Site Li, Yubin Ge +3

The unsupervised domain adaptation (UDA) has been widely adopted to alleviate the data scalability issue, while the existing works usually focus on classifying independently discre…