Feature Attribution Evaluation on Open Images 5000 random images (val)
0.719AUCXRAI + GIG(20)
Evaluation Results
| Method | Links | |
|---|---|---|
| XRAI + GIG(20)Backbone=ResNet2021.06 | 0.719 | |
| XRAI + GIG(0)Backbone=ResNet2021.06 | 0.718 | |
| Smoothgrad + GIG(20)Backbone=ResNet2021.06 | 0.685 | |
| Smoothgrad + IGBackbone=ResNet2021.06 | 0.662 | |
| Smoothgrad + GIG(0)Backbone=ResNet2021.06 | 0.649 | |
| XRAI + IGBackbone=ResNet2021.06 | 0.631 | |
| GIG(0)Backbone=ResNet2021.06 | 0.63 | |
| GIG(20)Backbone=ResNet2021.06 | 0.624 | |
| Blur IGBackbone=ResNet2021.06 | 0.619 | |
| EdgeBackbone=ResNet2021.06 | 0.611 | |
| GradientsBackbone=ResNet2021.06 | 0.606 | |
| IGBackbone=ResNet2021.06 | 0.557 | |
| GradCAMBackbone=ResNet2021.06 | 0.474 |