Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition-Reference-Cited by-同舟云学术

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Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)
language:
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Author:

Feng Xia¹,Guo Jiaxian¹,Liu Caihua¹

Affiliation:

1. Civil Aviation University of China,School of Computer Science and Technology,Tianjin,China

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189429/10189430/10189703.pdf?arnumber=10189703

Reference28 articles.

1. Simvit: Exploring a simple vision transformer with sliding windows;li;arXiv preprint arXiv 2112 13505,2021

2. Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios

3. Recognizing human actions by attributes

4. Feature Pyramid Attention Model and Multi-Label Focal Loss for Pedestrian Attribute Recognition

5. Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition;Pattern Recognition and Computer Vision;2023-12-26

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