Partial-REID 数据集是一个经过独特设计的部分遮挡的行人重识别数据集。其采用深度空间特征重建 DSR (Deep Spatial Reconstruction) 的新方法，用于部分遮挡的行人重识别，无需图像对齐，就可以灵活地处理任意大小的人像，解决部分遮挡的行人重识别问题。 示例图像： 数据集包括 60 人的 600 张图像，每人有 5 张全身图像和 5 张遮挡图像，图像由一个大学校园中 6 台摄像机从不同的视角、背景和不同类型的遮挡处采集

Citation

@inproceedings{he2018deep, title={Deep spatial feature reconstruction for partial person re-identification: Alignment-free approach}, author={He, Lingxiao and Liang, Jian and Li, Haiqing and Sun, Zhenan}, booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2018} } @inproceedings{he2019foreground, title={Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification}, author={He, Lingxiao and Wang, Yinggang and Liu, Wu and Zhao, He and Sun, Zhenan and Feng, Jiashi}, booktitle={IEEE International Conference on Computer Vision (ICCV)}, year={2019} }