Unsupervised cross-modal knowledge transfer on ISRUC EEG → ECG
80.13Balanced AccuracyOracle
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OracleInput Modality=EEG, Trainable Parameters=-2025.10 | 80.13 | 82.06 | 87.19 | |
| KD-ContrastInput Modality=ECG, Trainable Parameters=30.4M2025.10 | 60.66 | 56.56 | 63.57 | |
| KDInput Modality=ECG, Trainable Parameters=30.4M2025.10 | 60.24 | 61.01 | 72.96 | |
| BioX-BridgeInput Modality=ECG, Trainable Parameters=1.8M2025.10 | 60.11 | 61.2 | 74.02 | |
| RandomInput Modality=-, Trainable Parameters=-2025.10 | 50 | 46.48 | 53.52 |