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1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
時間 2020-12-29
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深度學習
行人重識別
reid論文閱讀
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前言: Li et al. 和Ahmed et al. 提出方法:一對裁剪圖像輸入+binary verification loss 訓練參數 Ding et al. 和Cheng et al. 提出方法:三圖像輸入(triplet sample)+binary triplet loss 訓練參數,minimize the feature distance between the same per
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相關文章
1.
論文筆記之--Joint Detection and Identification Feature Learning for Person Search
2.
Person search: Joint Detection and Identification Feature Learning for Person Search筆記
3.
1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記
4.
1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
5.
Joint Discriminative and Generative Learning for Person Re-identification
6.
1707.ICCV.Neural Person Search Machines檢測加識別 論文閱讀筆記
7.
論文閱讀筆記之RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
8.
【論文閱讀】Batch Feature Erasing for Person Re-identification and Beyond
9.
1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 論文閱讀筆記
10.
【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
>>更多相關文章<<