1607.Gated Siamese Convolutional Neural Network Architecture for Human Re-identificationl論文筆記
作者的貢獻： 作者針對Siamese network結構進行改進，採用更小的卷積核和更深的架構，包括採用最後幾層採用更小的不對稱的卷積核，引入BN層加快網絡收斂，更重要的是，作者在最後四層之間插入matching gate層，通過比較每一特徵圖的每一排，在水平條紋上生成基於同一ID的更底層的特徵掩膜，並將同一水平區域的有效區域特徵整合到最終每層的特徵提取中，作者將這種新穎的架構最終命名爲Gated
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相關文章
- 1. Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification 泛讀記錄
- 2. 論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
- 3. 論文筆記：Convolutional Neural Network for Sentence Classification
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- 8. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
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- 10. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記