As such, based on the self-supervised learning, this article proposes a spatial–spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE ... patches of HSIs during ...

However, such LEMs are scarce and neglecting the potential in reconstruction tasks ... 2) The second stage features a multi-view layer-fusion masked autoencoder that exploits EEG’s complex Temporal ...

In this research, we propose a mask voxel autoencoder network for pre-training large-scale point clouds, dubbed Voxel-MAE. Our key idea is to transform the point clouds into voxel representations and ...

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