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Crowd Counting

Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.

Source: Deep Density-aware Count Regressor

Papers

Showing 111120 of 371 papers

TitleStatusHype
Cascaded Residual Density Network for Crowd Counting0
A Study of Human Gaze Behavior During Visual Crowd Counting0
Adaptive Density Map Generation for Crowd Counting0
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization0
A Strong Baseline for Crowd Counting and Unsupervised People Localization0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models0
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability0
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP0
Crowd Counting via Hierarchical Scale Recalibration Network0
Deep Spatial Regression Model for Image Crowd Counting0
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