《Constrained Convolutional Neural Networks for Weakly Supervised Segmentation》翻譯
弱監督分割的約束卷積神經網絡 摘要 我們提出了一種從圖像級標籤學習密集像素級標籤的方法。每個圖像級標籤都對卷積神經網絡(CNN)分類器的輸出標籤施加約束。我們提出約束CNN(CCNN)，一種利用新的損失函數對輸出空間上的任意一組線性約束進行運算定時的方法(即預測標籤分佈)的CNN。我們的損失形式很容易優化，可以直接納入標準隨機梯度下降優化。其核心思想是將訓練目標描述爲線性模型的雙線性化，然後將其鬆
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