MLANet: multi-level attention network with multi-scale feature fusion for crowd counting

Liyan Xiong; Yijuan Zeng; Xiaohui Huang; Zhida Li; Peng Huang

doi:10.1007/s10586-024-04326-5

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MLANet: multi-level attention network with multi-scale feature fusion for crowd counting

Liyan Xiong Yijuan Zeng Xiaohui Huang Zhida Li Peng Huang

Year: 2024 Journal: Cluster Computing Vol: 27 (5)Pages: 6591-6608 Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-024-04326-5

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Keywords:

Computer science Feature (linguistics) Scale (ratio) Artificial intelligence Process (computing) Data mining Field (mathematics) Beijing Pattern recognition (psychology)

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

MLANet: multi-level attention network with multi-scale feature fusion for crowd counting

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