Joint Discriminative and Generative Learning for Person Re-identification
簡介 只是簡單的論文閱讀筆記，不做深入解讀 原理是，用一個DG-net的網絡，集成了數據生成模塊和reid學習模塊，一個是外觀代碼塊和一個結構代碼塊；外觀代碼用於提取行人的衣帽等特徵，結構代碼塊用於提取行人的姿態，身材，頭髮顏色等的特徵。輸入兩個圖片，利用上面所說的兩個模塊進行特徵的交換，這樣就可以合成高質量的圖像，實質就是利用生成的數據來進行數據的增強，然後再進行訓練學習。
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相關文章
- 1. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 2. Person search: Joint Detection and Identification Feature Learning for Person Search筆記
- 3. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 4. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 5. paper review : Learning Discriminative Joint Embeddings for Efficient Face and Voice Association
- 6. 論文筆記之--Joint Detection and Identification Feature Learning for Person Search
- 7. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 8. 19ArXiv之ReID：Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person
- 9. Generative model & discriminative model
- 10. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification