SFPANet: Separation and fusion pyramid attention network for crowd counting

Crowd counting methods have become increasingly mature. However, the problem of dramatic scale variation still exists. For this reason, we propose an efficient separated and fused pyramid attention network, which can extract multiscale features on channels and space and greatly alleviate the problem...

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Veröffentlicht in:	Multimedia tools and applications 2024-04, Vol.83 (13), p.38839-38855
Hauptverfasser:	Xiong, Li Yan, Deng, Huizi, Yi, Hu, Huang, Peng, Zhou, Qiyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Modules Multimedia Information Systems Special Purpose and Application-Based Systems State of the art
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