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《Multi-Granularity Reference-Aided Attentive Feature Aggregation for Videobased Person Reid》CVPR2020
時間 2021-01-12
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Person ReID
計算機視覺
人工智能
深度學習
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論文地址:https://arxiv.org/abs/2003.12224 1. 問題 如下圖,可以觀察到: 1)隨着時間的推移,視頻有重複內容的冗餘 2)圖中可以看到有些內容偶然出現,但是卻是判別性元素,如,person 1在 t = 2,3 時紅色的鞋 3)在不同粒度/尺度能捕捉判別性元素/屬性,如,從大的區域(粗粒度)捕捉身體形狀,而從小的局部區域(細粒度)捕捉頭髮風格,然而缺乏有效機制來探
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相關文章
1.
2020ECCV之ReID:Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identificat
2.
Relation-Aware Global Attention for Person Re-identification(CVPR2020)
3.
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4.
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5.
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6.
【ReID】Batch DropBlock Network for Person Re-identification and Beyond
7.
【ReID】Hierarchical and Efficient Learning for Person Re-Identification
8.
View Confusion Feature Learning for Person Re-identification
9.
Cascade Feature Aggregation for Human Pose Estimation
10.
1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
>>更多相關文章<<