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Model parameters and computational cost.
| Task | Model | Parameters (millions) | Time per prediction (sec) |
Memory per prediction (GB) |
||
|---|---|---|---|---|---|---|
| Train | Test | Train | Test | |||
| End-to-end | EchoNet-Dynamic | 71.1 | 0.221 | 0.048 | 1.191 | 0.276 |
| EF Prediction | EchoNet-Dynamic (EF) | 31.5 | 0.150 | 0.034 | 1.055 | 0.246 |
| R3D | 33.4 | 0.084 | 0.025 | 0.394 | 0.184 | |
| MC3 | 11.7 | 0.110 | 0.035 | 0.489 | 0.151 | |
| Segmentation | EchoNet-Dynamic (Seg) | 39.6 | 0.071 | 0.014 | 0.136 | 0.030 |
