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2020ECCV之ReID:Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identificat
時間 2021-01-07
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ReID
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深度學習
人工智能
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Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification 簡述: 現有的VI-ReID方法傾向於學習全局表示,全局表示的可辨識性有限,且對有噪信息的魯棒性較差。針對(a)中全局信息問題和噪音問題:通過以下兩個思路去解決:(b)模內加權部分聚合(IWPA),它通過挖掘每個模內的上
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相關文章
1.
2019CVPR之ReID:Interaction-and-Aggregation Network for Person Re-identification
2.
Learning Context Graph for Person Search
3.
Camera viewpoint learning for person re-identification
4.
1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
5.
【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
6.
Learning Delicate Local Representations for Multi-Person Pose Estimation
7.
【ReID】Hierarchical and Efficient Learning for Person Re-Identification
8.
DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION(ICIP2016)
9.
《Learning Part-based Convolutional Features for Person Re-identification》TPAMI2019
10.
View Confusion Feature Learning for Person Re-identification
>>更多相關文章<<