β-VAE models for unsupervised anomaly detection show a reconstruction-detection trade-off mitigated by beta-scheduling and Sparse VAE.
Unsupervised anomaly detection in brain FDG PET with deep genera- tive models: An experimental analysis of model vari- ability and mitigation strategies
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Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
β-VAE models for unsupervised anomaly detection show a reconstruction-detection trade-off mitigated by beta-scheduling and Sparse VAE.