Rethinking Global Context in Crowd Counting

doi:10.1007/s11633-023-1475-z

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Rethinking Global Context in Crowd Counting
	Guolei Sun 3; Yun Liu 2; Thomas Probst 1; Danda Pani Paudel 3; Nikola Popovic 3; Luc Van Gool 3
刊名	Machine Intelligence Research
	2024
卷号	21 期号:4 页码:640-651
关键词	Crowd counting vision transformer global context attention density map
ISSN号	2731-538X
DOI	10.1007/s11633-023-1475-z
英文摘要	This paper investigates the role of global context for crowd counting. Specifically, a pure transformer is used to extract features with global information from overlapping image patches. Inspired by classification, we add a context token to the input sequence, to facilitate information exchange with tokens corresponding to image patches throughout transformer layers. Due to the fact that trans formers do not explicitly model the tried-and-true channel-wise interactions, we propose a token-attention module (TAM) to recalibrate encoded features through channel-wise attention informed by the context token. Beyond that, it is adopted to predict the total person count of the image through regression-token module (RTM). Extensive experiments on various datasets, including ShanghaiTech, UCF QNRF, JHU-CROWD++ and NWPU, demonstrate that the proposed context extraction techniques can significantly improve the per formance over the baselines.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58564]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Magic Leap, Zürich 8050, Switzerland 2.Institute for Infocomm Research, A*STAR, Singapore 138632, Singapore 3.Computer Vision Lab, ETH Zürich, Zürich 8092, Switzerland
推荐引用方式 GB/T 7714	Guolei Sun, Yun Liu, Thomas Probst,et al. Rethinking Global Context in Crowd Counting[J]. Machine Intelligence Research,2024,21(4):640-651.
APA	Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel,Nikola Popovic,& Luc Van Gool.(2024).Rethinking Global Context in Crowd Counting.Machine Intelligence Research,21(4),640-651.
MLA	Guolei Sun,et al."Rethinking Global Context in Crowd Counting".Machine Intelligence Research 21.4(2024):640-651.