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Interpretable Machine Learning On Cub 200
평가 지표
Top 1 Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| 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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