Cross-Modulation Networks For Few-Shot Learning
作者是在基於度量的學習的模型基礎上，通過Cross-Modulation方法將每個抽象級別的support and query examples 整合，從而達到更好的預測表現。 方法 論文的核心方法是將Feature-wise Linear Modulation（FiLM）方法引入到度量學習中，關於FiLM的思想和具體實現可查閱原論文，這裏就簡單介紹下。 FiLM 將一種條件決定的面向特徵的仿射變
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相關文章
- 1. Machine Learning for Communication Networks
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- 10. neuron networks for machine learning coursera課程筆記