Abstract: Deep learning-based methods for automatic sleep staging offer an efficient and objective alternative to costly manual scoring. However, their reliance on extensive labeled datasets and the ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
Abstract: Self-supervised learning (SSL) methods, including contrastive learning (CL) and masked image modeling (MIM), have shown commendable performance on various remote sensing visual tasks.
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