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Deep Learning for Person Re-identification: A Survey and Outlook——準研究生論文週報
時間 2020-12-29
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論文週報
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Microsoft
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1 簡介 這是一篇綜述性文章,本文從closed-world和open-world兩個方面較細緻地分析了Re-ID,並展望了前景。這次的心得寫得較長,也算是一個總結。 首先,作者通過將Re-ID分爲封閉世界(closed-world)的ReID和開放世界(open-world)的Re-ID來陳述,如下表,通俗地說,closed-world指的就是較爲理想的環境下的實驗,比如單模態的數據集、
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相關文章
1.
2020Arxiv之ReID:Deep Learning for Person Re-identification: A Survey and Outlook論文筆記
2.
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——準研究生論文週報
3.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
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