論文閱讀：Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning（ICCV 2019）
論文閱讀：Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning（ICCV 2019） 三部分： 特徵提取部分：運用了數據增強，將support set中所有樣本處理一下（TIM），得到新的圖片集，然後用CNN網絡提取特徵，query集也用同樣的CNN網絡提取特徵。 距離衡量部分：通過解決一個SDP問題來爲每個task定製一
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相關文章
- 1. 論文閱讀筆記《Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning》
- 2. Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning 論文筆記
- 3. 論文閱讀筆記《TADAM: Task dependent adaptive metric for improved few-shot learning》
- 4. 論文閱讀Adaptive Subspaces for Few-Shot Learning
- 5. TADAM: Task dependent adaptive metric for improved few-shot learning閱讀筆記
- 6. [ICCV論文閱讀2019]Meta-Learning to Detect Rare Objects
- 7. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 8. 論文閱讀筆記《Learning to propagate labels: Transductive propagation network for few-shot learning》
- 9. ICCV 2017 EAST:《Learning Policies for Adaptive Tracking with Deep Feature Cascades》論文筆記
- 10. 論文閱讀筆記《Adaptive Subspaces for Few-Shot Learning》