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Arxiv
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Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
- Researchers propose Multi-Branch Mutual-Distillation (MBMD) Transformer for EEG-based seizure subtype classification.
- MBMD Transformer is designed to effectively train from small labeled data.
- It replaces even-numbered encoder blocks of the vanilla Vision Transformer with multi-branch encoder blocks.
- Experiments show that MBMD Transformer outperforms traditional machine learning and deep learning approaches for EEG-based seizure subtype classification.
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