DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification 論文記錄
DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification Abstract：本文提出了filter pairing neural network（FPNN）來處理re-ID數據中的人物不對齊，光照和幾何變化等影響。 1 Introduction 本文的主要貢獻：（1）FPNN，不同之處在於：使用一個統一的深度
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相關文章
- 1. 論文筆記：DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
- 2. 2014 CVPR-DeepReID Deep Filter Pairing Neural Network for Person Re-Identification
- 3. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 4. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 5. part-aligned系列論文：1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 論文
- 6. 1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記
- 7. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 8. 【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】論文筆記
- 9. 論文筆記——ThiNet: A Filter Level Pruning Method for Deep Neural Network Compreesion
- 10. Person Re-identification with Deep Similarity-Guided Graph Neural Network 論文筆記