Trajectory Prediction on ADNI
1.801Median Error (x10^3)CASHformer w/ ViTlarge
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CASHformer w/ ViTlargePre-trained=true, Parameters=6.84M2022.07 | 1.801 | 0.391 | |
| CASHformer w/ ViTbasePre-trained=true, Parameters=5.99M2022.07 | 3.418 | 0.366 | |
| CASHformer w/ GPT-2Pre-trained=false, Parameters=130M2022.07 | 3.955 | 0.324 | |
| ViTbasePre-trained=false, Parameters=86.4M2022.07 | 4.04 | 0.262 | |
| Small TransforMeshPre-trained=false, Parameters=10.4M2022.07 | 5.592 | 0.294 | |
| LSTM(12 blocks)Pre-trained=false, Parameters=62.6M2022.07 | 5.653 | 0.308 | |
| GPT-2Pre-trained=false, Parameters=130M2022.07 | 5.692 | 0.351 | |
| CASHformer w/ GPT-2Pre-trained=true, Parameters=5.99M2022.07 | 6.353 | 0.311 | |
| Base TransforMeshPre-trained=false, Parameters=38.7M2022.07 | 6.56 | 0.379 | |
| ViTlargePre-trained=false, Parameters=309M2022.07 | 6.709 | 0.286 | |
| LSTM(3 blocks)Pre-trained=false, Parameters=20.1M2022.07 | 6.832 | 0.341 |