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
模型名称 | Top 1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| Q-SENN | 85.9 | Q-SENN: Quantized Self-Explaining Neural Networks | |
| SLDD-Model | 85.7 | Take 5: Interpretable Image Classification with a Handful of Features |
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