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Horizontal Flipping Assisted Disentangled Feature Learning for Semi-Supervised Person Re-Id
時間 2021-01-04
標籤
行人重識別
人工智能
深度學習
python
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Python
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Horizontal Flipping Assisted Disentangled Feature Learning for Semi-Supervised Person Re-Id(半監督行人重識別中用水平翻轉來協助特徵解耦) 我的科研方向是行人屬性識別,老師讓我參照師兄剛中的ACCV Paper中的方法看看能否將其應用到行人屬性識別中,現在先將師兄論文的閱讀筆記記錄下來。 一、摘要 文
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相關文章
1.
【ReID】Hierarchical and Efficient Learning for Person Re-Identification
2.
View Confusion Feature Learning for Person Re-identification
3.
2019 TCSVT之ReID:SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-id
4.
【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
5.
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6.
論文筆記14 --(ReID)Spectral Feature Transformation for Person Re-identification
7.
19ArXiv之ReID:Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person
8.
2019 CVPR:Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
9.
Person search: Joint Detection and Identification Feature Learning for Person Search筆記
10.
【ReID】Batch DropBlock Network for Person Re-identification and Beyond
>>更多相關文章<<