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Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning
時間 2021-01-02
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行人屬性識別
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論文:http://ise.thss.tsinghua.edu.cn/MIG/2018-7.pdf 代碼:https://github.com/slf12/GRLModel 1 核心思想 本篇論文的核心思想是行人的屬性存在組內互斥和組間關聯。組內互斥是指同一類的多個屬性不可能一起出現,比如判定一個行人年齡爲16-30時,不能再判定其年齡爲31-45。組間關聯是指不同的屬性組之間具有關聯關係,比如判
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相關文章
1.
行人屬性「Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios」
2.
行人屬性「Attribute Recognition by Joint Recurrent Learning of Context and Correlation」
3.
[筆記] Pedestrian Attribute Recognition Dataset Summary
4.
Mix and Match: Joint Model for Clothing and Attribute Recognition
5.
A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
6.
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
7.
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Loc
8.
行人屬性識別:Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute……
9.
行人屬性「Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Loca」
10.
Pedestrian Attribute Recognition via Hierarchical Multi-task Learning and Relationship Attention
>>更多相關文章<<