Fast intensive crowd counting model of Internet of Things based on multi‐scale attention mechanism-Reference-Cited by-同舟云学术

Fast intensive crowd counting model of Internet of Things based on multi‐scale attention mechanism

Published:2022-11-23 Issue: Volume: Page:
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Liu Dong¹^ORCID,Wang Zhiyong¹^ORCID,Meng Xiangjia¹^ORCID

Affiliation:

1. School of Information Engineering Shandong Youth University of Political Science Jinan China

Publisher

Institution of Engineering and Technology (IET)

Subject

Pharmaceutical Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12686

Reference35 articles.

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4. Carion N. Massa F. Synnaeve G. et al.:End‐to‐end object detection with transformers. In:European Conference on Computer Vision Glasgow pp.213–229(2020)

5. Li Z. Gou F. De Q. Ding L. Zhang Y. Cai Y.:RealNet: Combining optimized object detection with information fusion depth estimation co‐design method on IoT[J/OL].https://arxiv.org/abs/2204.11216(2022)

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