《An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks》筆記
論文地址： https://arxiv.org/pdf/1702.02382.pdf What:這篇是將生成對抗網絡應用到半監督學習，用discriminator的信號作爲無標籤數據集的反饋信號，對抗生成網絡構建一個對抗規則化的作用。作用將搭建的半監督學習網絡應用到語意分割中，通過實驗證明半監督學習的有效性，可以用更少的數據集訓練出較好的結果。網絡的結構圖如下圖所示，有標籤的圖片得到一組分類損失，
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相關文章
- 1. DANN：Domain-Adversarial Training of Neural Networks
- 2. Domain-Adversarial Training of Neural Networks
- 3. 論文筆記：An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs
- 4. [paper]ADVERSARIAL REPROGRAMMING OF NEURAL NETWORKS
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