2019 CVPR之ReID：Densely Semantically Aligned Person Re-Identification
Densely Semantically Aligned Person Re-Identification 当前的问题及概述： 目前ReID如图1中存在的问题：(a)不同的摄像机视点，(b)不同的姿态，©不完善的人检测，(d)局部内的错位，(e)杂乱的背景，(f)遮挡而造成的人的空间错位。 本文通过对人即时信息语义的估计，构造了一组语义密集对齐的局部图像(dsap image)，其中相同的空间位置
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相关文章
- 1. Densely semantically aligned person re-identification
- 2. part-aligned系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
- 3. part-aligned系列论文：1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 论文
- 4. CVPR 2019 paper
- 5. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
- 6. 2019 CVPR之ReID:Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Id
- 7. [CVPR 2019 论文笔记] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
- 8. [PersonReID] Part-Aligned Representations for Person Re-Identification
- 9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 10. SYSU-MM01的多模态Re-ID数据集 异构Heterogeneous person reidentification