Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach筆記
前言 最近一直在看CVPR關於ReID的文章，前兩天接連看了兩篇基於數據增廣提高模型accuracy的方法，感覺都是百變不離其宗差不多，有點看膩歪了的感覺，看到這篇文章，正如我剛剛對我郭師叔所說，換了一個角度，針對一個更小更具體的問題，提出了一種很有創意的想法。看的我很新奇也很開心。下面言歸正傳，介紹一下這篇文章。 摘要 關於行人重檢測(person re-identification)前面已經介
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相關文章
- 1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 閱讀筆記
- 2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach筆記
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- 4. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
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- 6. A Discriminative Feature Learning Approach for Deep Face Recognition 論文筆記
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- 10. 1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記