Unsupervised cross-modal knowledge transfer on WESAD ECG -> PPG (test)
49.57Balanced AccuracyBioX-Bridge
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BioX-BridgeInput Modality=PPG, Trainable Parameters=0.2M2025.10 | 49.57 | 42.28 | 47.44 | |
| OracleInput Modality=ECG2025.10 | 49.47 | 51.05 | 62.48 | |
| KDInput Modality=PPG, Trainable Parameters=5.7M2025.10 | 47.86 | 43.08 | 45.75 | |
| KD-ContrastInput Modality=PPG, Trainable Parameters=5.7M2025.10 | 45.31 | 42.75 | 47.2 | |
| CardioGANInput Modality=PPG2025.10 | 39.32 | 19.63 | 20.33 | |
| Random2025.10 | 33.33 | 31.29 | 35.38 |