Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification筆記
這是一篇整整琢磨了快兩天，最後在我郭大師的指導下才看懂的論文，話不多說，直接上乾貨。 傳統的 ReID通常來講會將行人描述爲一個單一的特徵向量，並且通過特定任務的矩陣空間進行特徵向量對比，從而得出相似度。然而這篇文章的作者認爲，單一的特徵向量並不足以克服一些現實場景中常常出現的視覺障礙。所以這篇文章提出了DuATM（雙感知匹配網絡）去學習上下文感知特徵序列，同步執行序列對比。文章的核心是雙感知機制
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相關文章
- 1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction閱讀筆記
- 2. Dual Attention Network for Scene Segmentation 論文筆記
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- 5. Dual Co-Matching Network for Multi-choice Reading Comprehension筆記
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