DTCC: Multi-level dilated convolution with transformer for weakly-supervised crowd counting

DTCC: Multi-level dilated convolution with transformer for weakly-supervised crowd counting

Abstract Crowd counting provides an important foundation for public security and urban management. Due to the existence of small targets and large density variations in crowd images, crowd counting is a challenging task. Mainstream methods usually apply convolution neural networks (CNNs) to regress...

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Bibliographic Details
Main Authors: Zhuangzhuang Miao, Yong Zhang, Yuan Peng, Haocheng Peng, Baocai Yin
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Computational Visual Media
Subjects:
crowd counting
transformer
dilated convolution
global perspective field
pyramid
Online Access:https://doi.org/10.1007/s41095-022-0313-5

Internet

https://doi.org/10.1007/s41095-022-0313-5

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