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Found 2 papers, 1 papers with code
A Strong Baseline for Crowd Counting and Unsupervised People Localization
In this paper, we explore a strong baseline for crowd counting and an unsupervised people localization algorithm based on estimated density maps.
Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation
In this paper, we present a novel method Coarse- and Fine-grained Attention Network (CFANet) for generating high-quality crowd density maps and people count estimation by incorporating attention maps to better focus on the crowd area.
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