2014 CVPR-DeepReID Deep Filter Pairing Neural Network for Person Re-Identification
論文地址 第一篇用深度學習來做Re-ID的工作，介紹了很多基礎性的概念 model部分對CNN的設計思路講的很詳細，有些細節還沒有完全搞懂，回頭會繼續理解總結~ Motivation 傳統的re-ID的流程如下圖： 現在的re-ID工作要麼是分開優化流程中的幾個模塊，要麼是順序優化，這種做法如果有用的信息在之前的步驟中丟失就難以在恢復了，影響整個系統的性能。 那麼有沒有辦法來建立一個不同模塊之間可
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相關文章
- 1. 論文筆記：DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
- 2. DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification 論文記錄
- 3. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 4. part-aligned系列論文：1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 論文
- 5. Tips for Training Deep Neural Network
- 6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 7. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 8. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 9. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
- 10. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 閱讀筆記