Classification on 3D-POP (Sequence 11)
96AccuracyResNet18
Evaluation Results
| Method | Links | |
|---|---|---|
| ResNet18Network=ResNet18, Train MLP Only=false, Train Frames=1000, Val Frames=200, Memory Per Batch (GB)=0.662026.01 | 96 | |
| ResNet18Network=ResNet18, Train MLP Only=false, Train Frames=100, Val Frames=100, Memory Per Batch (GB)=0.662026.01 | 88 | |
| EfficientNet-B0Network=EfficientNet-B0, Train MLP Only=true, Train Frames=1000, Val Frames=200, Memory Per Batch (GB)=0.312026.01 | 77 |