A Multi-Scale Feature Fusion Network With Cascaded Supervision for Cross-Scene Crowd Counting-Reference-Cited by-同舟云学术

A Multi-Scale Feature Fusion Network With Cascaded Supervision for Cross-Scene Crowd Counting

Published:2023 Issue: Volume:72 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Xinfeng¹^ORCID,Han Lina¹^ORCID,Shan Wencong¹^ORCID,Wang Xiaohu¹^ORCID,Chen Shuhan¹^ORCID,Zhu Congcong¹^ORCID,Li Bin¹

Affiliation:

1. Jiangsu Province Engineering Research Center of Knowledge Management and Intelligent Service, College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Higher Education Institutions of China

Yangzhou University “Qinglan Project.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10049177.pdf?arnumber=10049177

Reference41 articles.

1. Point in, Box Out: Beyond Counting Persons in Crowds

2. An Improved Deep Network-Based Scene Classification Method for Self-Driving Cars

3. Finding Tiny Faces

4. Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization

5. End-to-end crowd counting via joint learning local and global count

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