Interpretable Machine Learning On Cub 200
评估指标
Top 1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Top 1 Accuracy |
|---|---|
| q-senn-quantized-self-explaining-neural | 85.9 |
| take-5-interpretable-image-classification | 85.7 |
各个模型在此基准测试上的表现结果
| 模型名称 | Top 1 Accuracy |
|---|---|
| q-senn-quantized-self-explaining-neural | 85.9 |
| take-5-interpretable-image-classification | 85.7 |