Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning 論文簡述 論文重點 想法 算法 算法細節 思考 論文簡述 本文提出了原型網絡，原型網絡從數據中學習某種非線性的embedding，使得最終生成的度量空間中，每個類的點都聚集在單一的原型表示周圍。對於詢問點，只需要計算出在度量空間中距離最短的原型，並分類即可。 論文重點 想法 idea : there exist
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相關文章
- 1. Prototypical Networks for Few-shot Learning
- 2. 論文閱讀 Prototypical Networks for Few-shot Learning
- 3. prototypical networks for few-shot learning論文
- 4. 論文筆記：Prototypical Networks for Few-shot Learning
- 5. 論文閱讀筆記 Prototypical Networks for Few-shot Learning
- 6. 原型網絡2017：《Prototypical Networks for Few-shot Learning》論文筆記
- 7. CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
- 8. (Fewshot detection)Review:RepMet: Representative-based metric learning for few-shot detection
- 9. Machine Learning for Communication Networks
- 10. Prototypical Networks for Few-shot Learning.（用於少樣本分類的原型網絡）