MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting

Avinash Rohra; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Munawar Ali; Yang Li

doi:10.1007/s10044-024-01385-7

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MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting

Avinash Rohra Baoqun Yin Hazrat Bilal Aakash Kumar Munawar Ali Yang Li

Year: 2025 Journal: Pattern Analysis and Applications Vol: 28 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s10044-024-01385-7

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Keywords:

Computer science Pattern recognition (psychology) Artificial intelligence Feature (linguistics) Block (permutation group theory) Convolutional neural network Feature extraction Weighting Convolution (computer science) Scale (ratio) Artificial neural network Mathematics

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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

Anomaly Detection Techniques and Applications

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MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting

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