1604.An Enhanced Deep Feature Representation for Person Re-identification 论文笔记
这篇论文发表于IEEE Winter Conference on Applications of Computer Vision (WACV’2016) 论文类型：严格来说，该论文属于基于融合特征的度量学习方法，侧重点在深度特征和传统特征的融合，更鲁棒的表达。 1.作者的idea： 总结前人的研究成果，对传统特征表达做一次进一步的整合，再结合cnn深度特征提取，最后做一个特征融合，而融合的过程并不
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相关文章
- 1. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 2. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
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- 10. 论文笔记 Pose-driven Deep Convolutional Model for Person Re-identification_tianqi_2017_ICCV