論文閱讀筆記《DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover’s Distance》
核心思想 本文提出一種基於度量學習的小樣本學習算法（DeepEMD）。之前的基於度量學習的小樣本學習算法通常是利用一個特徵提取網絡將支持集圖像和查詢集圖像映射到一個特徵空間，然後再設計或選擇一種距離度量方式，來描述支持集圖像和查詢集圖像之間的相似程度，並以此進行類別預測。而本文則是將圖片拆分成多個圖塊，然後引入一種新的距離度量方式陸地移動距離（Earth Mover’s Distance，EM
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- 1. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
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