[arxiv 20200628] Few-Shot Class-Incremental Learning via Feature Space Composition
論文下載 [1] CVPR 2020: Semantic Drift Compensation for Class-Incremental Learning [2] CVPR 2020: Few-Shot Class-Incremental Learning 什麼是小樣本類別增量學習？ 模型首先在一個大規模的基礎數據集 D ( 1 ) D^{(1)} D(1) 上進行訓練，然後會不斷增加新的數據集
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相關文章
- 1. [解讀] Unsupervised Feature Learning via Non-Parametric Instance Discrimination
- 2. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
- 3. Unsupervised Feature Learning via Non-parametric Instance Discrimination
- 4. Unsupervised Feature Learning via Non-Parametric Instance Discrimination
- 5. Domain agnostic feature learning
- 6. Paper Note --- Transfer Learning via Dimensionality Reduction
- 7. Few-shot Object Detection via Feature Reweighting
- 8. 論文閱讀：（AFM）Learning the Weight of Feature Interactions via Attention Networks
- 9. 論文閱讀：Deep Metric Learning via Lifted Structured Feature Embedding
- 10. 【論文閱讀】[meta learning]cross-domain few-shot classification via learned feature-wise transformation.