Person Re-identification based on Two-Stream Network with Attention and Pose Features 论文总结笔记
论文：基于注意力和姿势特征的双流网络行人重识别 文章目录 1 摘要 2 理论研究 2.1 主网络框架 2.2 特征融合 2.2 self-attention 2.3 pose estimattion 2.4 Bilinear Pooling 3 Loss 1 摘要 由于姿态、模糊、遮挡等问题的存在，行人的重新识别(re-ID，Re-ID)目前仍是一项具有挑战性的任务。本文结合了姿态估计和注意力机制
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相关文章
- 1. part-aligned系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
- 2. Cross-Modality Person Re-Identification Based on Dual-Path Multi-Branch Network 论文阅读笔记
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- 9. 《Real-time 2D Multi-Person Pose Estimation on CPU：Lightweight OpenPose》论文笔记
- 10. 论文阅读笔记《leaning spatiotemporal features with 3D convolutional network》