Age Regression on HCP
0.699MAESwiFT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SwiFTT (time frames)=502026.04 | 0.699 | 0.764 | 0.46 | |
| TABLeTT (time frames)=2562026.04 | 0.705 | 0.773 | 0.473 | |
| BNT2026.04 | 0.719 | 0.794 | 0.444 | |
| SwiFTT (time frames)=202026.04 | 0.719 | 0.776 | 0.45 | |
| Brain-JEPA2026.04 | 0.746 | 0.814 | 0.369 | |
| BrainNetCNN2026.04 | 0.749 | 0.847 | 0.372 | |
| meanMLP2026.04 | 0.751 | 0.846 | 0.37 | |
| XGBoost2026.04 | 0.769 | 0.859 | 0.296 | |
| TFFT (time frames)=202026.04 | 0.779 | 0.888 | 0.246 | |
| SwiFTTraining=from scratch2023.07 | 2.36 | 8.6 | — | |
| Brain-JEPA2025.11 | 2.55 | — | 0.62 | |
| fMRI-LM-B(G)backbone=GPT-2 (124M)2025.11 | 2.56 | — | 0.62 | |
| SWiFT2025.11 | 2.58 | — | 0.51 | |
| fMRI-LM-B(Q)backbone=Qwen3-0.6B2025.11 | 2.58 | — | 0.61 | |
| VanillaTF2023.07 | 2.95 | 12.5 | — | |
| BrainNetCNN2023.07 | 2.97 | 12.6 | — | |
| BNT2023.07 | 2.98 | 12.8 | — | |
| BrainMass2025.11 | 3.01 | — | 0.49 | |
| TFF2023.07 | 3.11 | 13.8 | — | |
| XGBoost2023.07 | 3.12 | 14.3 | — |