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[ICCV2019] Co-segmentation Inspired Attention Networks for Video-based Person Re-identification
时间 2021-01-12
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人工智能,数据挖掘
深度神经网络
计算机视觉
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这篇文章提出了一种Co-Segmentation Inspired Attention模块,用于专注于视频中的人像主体,忽略背景信息的干扰。本质上这是一篇将non-local模块,或是temporal self-attention机制应用于video-reid的文章,但相较于其他应用non-local在video-reid的文章来说,它的分析较为详尽。 Motivation Video Re-id
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相关文章
1.
ICCV2019-Expectation-Maximization Attention Networks for Semantic Segmentation
2.
End-to-end comparative attention networks for person re-identification
3.
[行人重识别]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
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Harmonious Attention Network for Person Re-Identification
7.
Collaborative Attention Network for Person Re-identification
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9.
Second-order Non-local Attention Networks for Person Re-identification论文阅读
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1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
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