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Continual Learning On Split Cifar 100
평가 지표
Average Accuracy
BWT
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | |||
|---|---|---|---|
| CODE-CL | 77.21 | -1.1 | CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning |
| OFSCIL | 68.62 | - | 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning |
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