Image Classification 벤치마크
Image Classification on CUB
Classification Accuracy
- 2021-06-12 — Entropy-based Logic Explained Network: Classification Accuracy 0.9295
| Rank | Model | Classification Accuracy | Explanation Accuracy | Explanation complexity | Explanation extraction time | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | Entropy-based Logic Explained Network | 0.9295 | 95.24 | 3.74 | 171.87 | Entropy-based Logic Explanations of Neural Networks | pietrobarbiero/pytorch_explain · pietrobarbiero/logic_explainer_networks · pietrobarbiero/entropy-lens | 2021 |
| 2 | $\psi$ network | 0.9192 | 76.1 | 15.96 | 3707.29 | Entropy-based Logic Explanations of Neural Networks | pietrobarbiero/pytorch_explain · pietrobarbiero/logic_explainer_networks · pietrobarbiero/entropy-lens | 2021 |
| 3 | Bayesian Rule List | 0.9079 | 96.02 | 8.87 | 264678.29 | Entropy-based Logic Explanations of Neural Networks | pietrobarbiero/pytorch_explain · pietrobarbiero/logic_explainer_networks · pietrobarbiero/entropy-lens | 2021 |
| 4 | Decision Tree | 0.8162 | 89.36 | 45.92 | 8.1 | Entropy-based Logic Explanations of Neural Networks | pietrobarbiero/pytorch_explain · pietrobarbiero/logic_explainer_networks · pietrobarbiero/entropy-lens | 2021 |