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A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration

Yong-Chao Li Rui-Sheng Jia Ying-Xiang Hu Hong-Mei Sun

自动化学报（英文版）2024，Vol.11Issue(4)：965-981,17.

自动化学报（英文版）2024，Vol.11Issue(4)：965-981,17.DOI:10.1109/JAS.2023.123960

A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration

Yong-Chao Li ¹Rui-Sheng Jia ²Ying-Xiang Hu ³Hong-Mei Sun²

作者信息

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590||Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266000, China
2. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao266590, China
3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590||College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210000, China
折叠

摘要

关键词

Crowd density estimation/linear feature calibration/vision transformer/weakly-supervision learning

Key words

Crowd density estimation/linear feature calibration/vision transformer/weakly-supervision learning

引用本文复制引用

Yong-Chao Li,Rui-Sheng Jia,Ying-Xiang Hu,Hong-Mei Sun..A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration[J].自动化学报（英文版）,2024,11(4):965-981,17.

基金项目

This work was supported by the Humanities and Social Science Fund of the Ministry of Education of China(21YJAZH077). （21YJAZH077）

自动化学报（英文版）

OA北大核心CSTPCDEI

ISSN：2329-9266

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