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
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