A multi-scale and multi-level feature aggregation network for crowd counting

Fushun Zhu; Hua Yan; Xinyue Chen; Tong Li; Zhengyu Zhang

doi:10.1016/j.neucom.2020.09.059

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A multi-scale and multi-level feature aggregation network for crowd counting

Fushun Zhu Hua Yan Xinyue Chen Tong Li Zhengyu Zhang

Year: 2020 Journal: Neurocomputing Vol: 423 Pages: 46-56 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.09.059

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Keywords:

Computer science Feature (linguistics) Benchmark (surveying) Focus (optics) Artificial intelligence Scale (ratio) Representation (politics) Pattern recognition (psychology) Kernel (algebra) Data mining Scalability Machine learning Mathematics Database

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fire Detection and Safety Systems

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

A multi-scale and multi-level feature aggregation network for crowd counting

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