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A Discriminatively Learned CNN Embedding for Person Re-identification 論文記錄
時間 2020-12-26
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A Discriminatively Learned CNN Embedding for Person Re-identification Abstract:在re-ID中,重要有兩種兩種流行的CNN模型,verification models(輸入兩張圖片,判斷是不是同一個人),identification models(給定圖片,判斷人物身份或是找到相同的人)。本文結合了這兩種模型,找出更具區
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相關文章
1.
1611.A Discriminatively Learned CNN Embedding for Person Re-identification論文閱讀筆記
2.
【Person Re-id】A Discriminatively Learned CNN Embedding for Person Re-identification
3.
part-aligned系列論文:1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
4.
Deeply-Learned Spatial Alignment for Person Re-Identification 論文閱讀記錄
5.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
6.
論文筆記:Deeply-Learned Part-Aligned Representations for Person Re-Identification
7.
ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
8.
Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
9.
part-aligned系列論文:1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 論文
10.
論文A LEARNED REPRESENTATION FOR ARTISTIC STYLE
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