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ReID论文笔记1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
时间 2021-07-14
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行人重识别
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论文地址: https://arxiv.org/abs/1707.07256 源码地址: https://github.com/zlmzju/part_reid 总述 part-aligned human representation 解决图片对应位置人体不对准问题 对姿势改变更鲁棒,不需要人体部分的标记,不需要训练人体检测器或者分割器 使用相似度信息,学习人体匹配,未使用LSTM 模型将人体分解
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相关文章
1.
part-aligned系列论文:1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
2.
1607.CVPR-Joint Learning of Single-image and Cross-image Representations for Person ReID 论文笔记
3.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
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Part-Aligned Bilinear Representations for Person Re-identification 论文笔记
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9.
论文笔记:Deeply-Learned Part-Aligned Representations for Person Re-Identification
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