Image Classification on Tiny ImageNet (test) with Model Efficiency Metrics
4.28AccuracyPruned MLP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Pruned MLPParams=3,197,384, FLOPs=4,506,4182026.03 | 4.28 | 0 | 29.519 | |
| Baseline MLPParams=3,197,384, FLOPs=6,393,8562026.03 | 3.24 | 0 | 0 | |
| DynamicMLPParams=3,197,640, FLOPs=1,273,1172026.03 | 2.97 | 0 | 80.088 | |
| Dropout MLPParams=3,197,384, FLOPs=6,393,8562026.03 | 2.51 | 0 | 0 |