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View Confusion Feature Learning for Person Re-identification
時間 2021-01-02
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有監督ReID
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Author Fangyi Liu Conference ICCV 2019 Motivation ReID的性能受圖片拍攝視角影響,所以希望提取view-invariant特徵。 Contribution 使用view confusion learning mechanism,提取視角不變性特徵。 用SIFT特徵來指導模型訓練。 Framework Pre-trained CNN Network
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相關文章
1.
ICCV2019-行人重識別-View Confusion Feature Learning for Person Re-identification
2.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
3.
Person search: Joint Detection and Identification Feature Learning for Person Search筆記
4.
Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
5.
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6.
2019 IET之ReID:HPILN: a feature learning framework for cross-modality person re-identification
7.
19ArXiv之ReID:Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person
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論文筆記之--Joint Detection and Identification Feature Learning for Person Search
9.
【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
10.
【論文筆記】Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
>>更多相關文章<<