MC2SleepNet fuses raw EEG and spectrogram views with contrastive learning and cross-masking to reach state-of-the-art sleep staging accuracy on two public datasets.
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MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
MC2SleepNet fuses raw EEG and spectrogram views with contrastive learning and cross-masking to reach state-of-the-art sleep staging accuracy on two public datasets.