A Transformer with global dictionary cross-attention and prototype similarity achieves state-of-the-art unsupervised multivariate time series anomaly detection on standard benchmarks.
The training process is continued for 10 epochs with the batch size of
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GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
A Transformer with global dictionary cross-attention and prototype similarity achieves state-of-the-art unsupervised multivariate time series anomaly detection on standard benchmarks.