Activity Classification on Activity Classification Dataset
85.76AUCPapagei-P
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 85.76 | 37.54 | 37.19 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 85.57 | 40.52 | 39.19 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 85.33 | 36.81 | 36.62 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 84.64 | 36.81 | 35.79 | |
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 83.65 | 36.43 | 34.32 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 83.26 | 36.81 | 35.72 | |
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 82.46 | 42.34 | 36.48 |