Image Classification on CIFAR-10 (test) (Accuracy and Compression Metrics)
95.05Top-1 Accuracy (Base)GAL-0.5
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GAL-0.5Model=DenseNet-402025.12 | 95.05 | -0.49 | 1.97 | 1.62 | |
| HrankModel=DenseNet-402025.12 | 95.05 | -0.52 | 2.25 | 2.2 | |
| ABCModel=DenseNet-402025.12 | 95.05 | -0.21 | 2.51 | 2.99 | |
| HrankModel=DenseNet-402025.12 | 95.05 | -0.98 | 3.31 | 3.38 | |
| FROBENIUSModel=DenseNet-402025.12 | 94.82 | -0.13 | 1.76 | 1.67 | |
| NEXPModel=DenseNet-402025.12 | 94.64 | -0.17 | 1.91 | 1.7 | |
| NEXPModel=DenseNet-402025.12 | 94.64 | -0.89 | 2.72 | 2.25 | |
| NEXPModel=DenseNet-402025.12 | 94.64 | -0.84 | 3.12 | 2.51 |