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【論文2】AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
時間 2021-01-06
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【課題介紹】:北大,鵬程等實驗室。貌似眼熟的六作Rongrong Ji,一二作者Yunpeng Zhai, Shijian Lu,這篇文章錄用於CVPR2020,主要是利用一種數據增強手段擴充樣本數據【和HHL相似】,增加類別的多樣性;另外就是迭代優化策略,一方面最大化人與人圖像之間的多樣性(可以理解加大類內距離,阻力),另一方面是最小化同一ID類之間圖像的距離(可以理解爲減小類內距離,動力)不斷
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相關文章
1.
2020 CVPR 之ReID:AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identi
2.
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificatio論文筆記
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4.
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5.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
6.
AAAI2020|Domain Adaptative Attention Learning for Unsupervised Cross-Domain Person Re-Identification
7.
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification理解
8.
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification(CVPR2019)閱讀筆記
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Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification
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