Classification on 3D-POP (Sequence 19)
97AccuracyResNet18
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet18Network=ResNet18, Train MLP Only=false, Train Frames=1000, Val Frames=200, Memory Per Batch (GB)=0.662026.01 | 97 | |
| ResNet18Network=ResNet18, Train MLP Only=false, Train Frames=100, Val Frames=100, Memory Per Batch (GB)=0.662026.01 | 89 | |
| EfficientNet-B0Network=EfficientNet-B0, Train MLP Only=true, Train Frames=1000, Val Frames=200, Memory Per Batch (GB)=0.312026.01 | 72 |