Explanation Sparsity on ImageNet
0.98Gini IndexH-Sets
Evaluation results
| Method | Links | |
|---|---|---|
| H-SetsModel=ResNet2026.04 | 0.98 | |
| MOXIModel=MobileNet2026.04 | 0.96 | |
| H-SetsModel=VGG2026.04 | 0.95 | |
| H-SetsModel=MobileNet2026.04 | 0.95 | |
| H-SetsModel=DenseNet2026.04 | 0.94 | |
| ArchipelagoModel=VGG2026.04 | 0.91 | |
| ArchipelagoModel=ResNet2026.04 | 0.91 | |
| ArchipelagoModel=MobileNet2026.04 | 0.91 | |
| ArchipelagoModel=DenseNet2026.04 | 0.9 | |
| MOXIModel=ResNet2026.04 | 0.87 | |
| MOXIModel=VGG2026.04 | 0.85 | |
| CAFOModel=ResNet2026.04 | 0.84 | |
| CASOModel=VGG2026.04 | 0.84 | |
| CAFOModel=VGG2026.04 | 0.83 | |
| CASOModel=ResNet2026.04 | 0.83 | |
| Integrated GradientsModel=ResNet2026.04 | 0.81 | |
| CASOModel=MobileNet2026.04 | 0.8 | |
| CAFOModel=MobileNet2026.04 | 0.79 | |
| CASOModel=DenseNet2026.04 | 0.74 | |
| CAFOModel=DenseNet2026.04 | 0.73 | |
| MOXIModel=DenseNet2026.04 | 0.72 | |
| Integrated GradientsModel=VGG2026.04 | 0.71 | |
| Integrated GradientsModel=MobileNet2026.04 | 0.63 | |
| Integrated GradientsModel=DenseNet2026.04 | 0.6 |