A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking

时间 2021-01-07

标签 paper reading 繁體版

原文原文链接

A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking（re-ranking 方法） github: https://github.com/pse-ecn/expanded-cross-neighborhood 本文提出的方法结合了人的精细和粗略姿态信息来

>>阅读原文<<

1. 【Person Re-id】A Discriminatively Learned CNN Embedding for Person Re-identification
2. 2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
3. Norm-Aware Embedding for Efficient Person Search
4. A Discriminatively Learned CNN Embedding for Person Re-identification 论文记录
5. SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification (note)
6. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification论文阅读笔记
7. Many-to-many Cross-lingual Voice Conversion with a Jointly Trained Speaker Embedding Network
8. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
9. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identificatio
10. 【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
更多相关文章...
• Scala for循环 - Scala教程
• Lua for 循环 - Lua 教程
• Java 8 Stream 教程
• 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解

最新文章

1. python的安装和Hello，World编写
2. 重磅解读：K8s Cluster Autoscaler模块及对应华为云插件Deep Dive
3. 鸿蒙学习笔记2（永不断更）
4. static关键字和构造代码块
5. JVM笔记
6. 无法启动 C/C++ 语言服务器。IntelliSense 功能将被禁用。错误: Missing binary at c:\Users\MSI-NB\.vscode\extensions\ms-vsc
7. 【Hive】Hive返回码状态含义
8. Java树形结构递归（以时间换空间）和非递归（以空间换时间）
9. 数据预处理---缺失值
10. 都要2021年了，现代C++有什么值得我们学习的？

本站公众号

欢迎关注本站公众号,获取更多信息

1. 【Person Re-id】A Discriminatively Learned CNN Embedding for Person Re-identification
2. 2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
3. Norm-Aware Embedding for Efficient Person Search
4. A Discriminatively Learned CNN Embedding for Person Re-identification 论文记录
5. SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification (note)
6. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification论文阅读笔记
7. Many-to-many Cross-lingual Voice Conversion with a Jointly Trained Speaker Embedding Network
8. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
9. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identificatio
10. 【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification

>>更多相关文章<<