Table 2.
Training information of PFVnet model.
| PFVnet Model | Parameter Settings |
|---|---|
| Batch Size | 8 |
| Image Size | 192 |
| Input Channel Number | 32 |
| Group (Group Norm) | 8 |
| Number of PMC Layer Modules | [2,6,6] |
| Number of PMAC Layer Modules | [2,2] |
| Number of Heads in Multi-head Attention | [8,16] |
| Mlp Ratio | 4 |
| Number of Forward Modules | [2,2,2,2,2] |
| Forward Module Channel Expansion Ratio | 6 |
| Maximum Iteration Count | 100,000 |
| Optimizer | AdamW |
| Initial Learning Rate | 4e-4 |
| Weight Decay | 0 |
| Momentum Parameters [beta1,beta2] | [0.9,0.999] |
| Retraining Learning Periods | [19500,100000] |
| Starting Weights for Retraining | [1,0.5] |
| Minimum Learning Rate | [1e-5,1e-6] |