DSAINet proposes a dual-scale attentive interaction network that outperforms baselines on multiple EEG tasks using the same hyperparameters and only 77K parameters.
Motor imagery EEG classification based on a weighted multi-branch structure suitable for multisubject data,
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DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding
DSAINet proposes a dual-scale attentive interaction network that outperforms baselines on multiple EEG tasks using the same hyperparameters and only 77K parameters.