Unsupervised cross-modal knowledge transfer on FOG EEG to EMG (test)
72.24Balanced AccuracyBioX-Bridge
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BioX-BridgeInput Modality=EMG, Trainable Parameters=1.2M2025.10 | 72.24 | 72.12 | 72.16 | |
| KD-ContrastInput Modality=EMG, Trainable Parameters=136.1M2025.10 | 72.21 | 71.95 | 71.95 | |
| OracleInput Modality=EEG, Trainable Parameters=-2025.10 | 72.15 | 72.14 | 72.2 | |
| KDInput Modality=EMG, Trainable Parameters=136.1M2025.10 | 68.64 | 67.62 | 67.78 | |
| RandomInput Modality=-, Trainable Parameters=-2025.10 | 50 | 49.99 | 50.01 |