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【Person Re-id】A Discriminatively Learned CNN Embedding for Person Re-identification
時間 2021-01-07
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loss
Re-id
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verification model:同時輸入image pairs,network預測輸入圖片是否爲同一個人,將問題當成一個二分類來看。這樣導致沒有完全用到標註信息,image pairs和數據集中的其他圖片的關係被忽略了。 identification model:將Person Re-id問題看做一個multi-class recognition task,利用數據的原始標註信息結合cros
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1611.A Discriminatively Learned CNN Embedding for Person Re-identification論文閱讀筆記
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【ReID】Batch DropBlock Network for Person Re-identification and Beyond
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相關文章
1.
1611.A Discriminatively Learned CNN Embedding for Person Re-identification論文閱讀筆記
2.
A Discriminatively Learned CNN Embedding for Person Re-identification 論文記錄
3.
ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
4.
Norm-Aware Embedding for Efficient Person Search
5.
論文筆記:Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
6.
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification (note)
7.
part-aligned系列論文:1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
8.
【ReID】【skimming】SphereReID: Deep Hypersphere Manifold Embedding for Person Re-identification
9.
【ReID】Batch DropBlock Network for Person Re-identification and Beyond
10.
【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
>>更多相關文章<<