Image Attribution On Cub 200 2011 1
評価指標
Deletion AUC score (ResNet-101)
Insertion AUC score (ResNet-101)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Deletion AUC score (ResNet-101) | Insertion AUC score (ResNet-101) | Paper Title | Repository |
|---|---|---|---|---|
| Grad-CAM | 0.0810 | 0.7224 | Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | - |
| SMDL-Attribution (ICLR version) | 0.0613 | 0.7262 | Less is More: Fewer Interpretable Region via Submodular Subset Selection | - |
| LIME | 0.1070 | 0.6812 | "Why Should I Trust You?": Explaining the Predictions of Any Classifier | - |
| RISE | 0.0665 | 0.7193 | RISE: Randomized Input Sampling for Explanation of Black-box Models | - |
| HSIC-Attribution | 0.0647 | 0.6843 | Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure | - |
| Integrated Gradients | 0.0728 | 0.0422 | Axiomatic Attribution for Deep Networks | - |
| Saliency | 0.0682 | 0.6585 | Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps | - |
| Kernel SHAP | 0.1016 | 0.6763 | A Unified Approach to Interpreting Model Predictions | - |
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