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ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
時間 2021-07-14
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論文地址: https://arxiv.org/abs/1707.07256 源碼地址: https://github.com/zlmzju/part_reid 總述 part-aligned human representation 解決圖片對應位置人體不對準問題 對姿勢改變更魯棒,不需要人體部分的標記,不需要訓練人體檢測器或者分割器 使用相似度信息,學習人體匹配,未使用LSTM 模型將人體分解
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相關文章
1.
part-aligned系列論文:1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
2.
1607.CVPR-Joint Learning of Single-image and Cross-image Representations for Person ReID 論文筆記
3.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
4.
論文筆記:Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
5.
論文筆記14 --(ReID)Spectral Feature Transformation for Person Re-identification
6.
論文筆記23 -- (ReID)Receptive Multi-granularity Representation for Person Re-Identification
7.
Part-Aligned Bilinear Representations for Person Re-identification 論文筆記
8.
Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
9.
論文筆記:Deeply-Learned Part-Aligned Representations for Person Re-Identification
10.
ReID簡記-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
>>更多相關文章<<