2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
HPILN: a feature learning framework for cross-modality person re-identification 当前的问题及概述： 提出了一种新的特征学习框架：hard pentaplet loss和identity loss network (HPILN),(HPILN)。在该框架中，对现有的单模态再识别模型进行了修正以适应交叉模态场景，并采用专门
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相关文章
- 1. View Confusion Feature Learning for Person Re-identification
- 2. [CVPR 2019] f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
- 3. 【KDD 2019】A Representation Learning Framework for Property Graphs
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- 10. 19ArXiv之ReID：Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person