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2019 TIP之ReID:Learning Modality-Specific Representations for Visible-Infrared Person Re-Identificati
时间 2020-12-26
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ReID
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Learning Modality-Specific Representations for Visible-Infrared Person Re-Identification 当前的问题及概述: 由于不同的视觉特征,在异构模式下匹配行人非常具有挑战性。 模型及loss: 2.1Overview: 图中可以看到,本文1)为每个域建立一个特定于模态的网络和一个特定于模态的loss函数,以便在特征提取
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相关文章
1.
论文阅读:轻量级reid:Learning Generalisable Omni-Scale Representations for Person Re-Identification
2.
Learning Delicate Local Representations for Multi-Person Pose Estimation
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8.
Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
9.
论文解读:《Learning Generalisable Omni-Scale Representations for Person Re-Identification(OSNet)》
10.
Part-Aligned Bilinear Representations for Person Re-identification 论文笔记
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