Person Search via A Mask-Guided Two-Stream CNN Model论文笔记
1.概述 论文主要是为了解决行人搜索（行人检测+行人重识别），论文将行人检索看成两个阶段，认为分离的检测器和re-ID特征提取能够产生更高的性能。论文提出了一个基于Mask-guided的双路CNN模型，一个分支是通过输入原始图像，输出检测后的行人候选框，另一个分支是通过预训练实例分割模型，提取原始图片的行人二值化掩膜。 2.方法介绍 如上图所示：主要有两个阶段组成（检测分割阶段、re-ID阶段）
相关文章
- 1. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification论文阅读笔记
- 2. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
- 3. 1707.ICCV.Neural Person Search Machines检测加识别 论文阅读笔记
- 4. 论文笔记之--Joint Detection and Identification Feature Learning for Person Search
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 6. 论文笔记：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
- 7. CNN论文笔记
- 8. Cross-Modality Person Re-Identification via Modality-aware Collaborative Ensemble Learning（7.29论文笔记）
- 9. 论文笔记系列-Efficient Neural Architecture Search via Parameter Sharing
- 10. 论文笔记 Pose-driven Deep Convolutional Model for Person Re-identification_tianqi_2017_ICCV
- 更多相关文章...
- • Docker search 命令 - Docker命令大全
- • CAP理论是什么？ - NoSQL教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification论文阅读笔记
- 2. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
- 3. 1707.ICCV.Neural Person Search Machines检测加识别 论文阅读笔记
- 4. 论文笔记之--Joint Detection and Identification Feature Learning for Person Search
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 6. 论文笔记：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
- 7. CNN论文笔记
- 8. Cross-Modality Person Re-Identification via Modality-aware Collaborative Ensemble Learning（7.29论文笔记）
- 9. 论文笔记系列-Efficient Neural Architecture Search via Parameter Sharing
- 10. 论文笔记 Pose-driven Deep Convolutional Model for Person Re-identification_tianqi_2017_ICCV