This paper proposes a complex recurrent variational autoencoder (VAE) framework, for modeling time series data, particularly speech signals. First, to account for the temporal structure of speech ...

As such, based on the self-supervised learning, this article proposes a spatial–spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE) for HSI classification. First, after ...