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VMamba-Crowd: Bridging multi-scale features from Visual Mamba for weakly-supervised crowd counting
DOI:10.1016/j.patrec.2025.08.005.png)
Abstract
En 中文
• We introduce Visual Mamba into weakly-supervised crowd counting for the first time. • We propose an Adjacent-scale Progressive Bridging Module APBM. • Using coordinated attention to process bridging features. • Our method outperforms most existing weakly-supervised crowd counting networks.
Keywords:
Visual Mamba
weakly-supervised crowd counting
Adjacent-scale Progressive Bridging Module
coordinated attention
crowd counting networks
Journal
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