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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

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Showing 301–310 of 371 papers

TitleStatusHype
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting—0
Multi-scale Feature Aggregation for Crowd Counting—0
Multi-source Multi-scale Counting in Extremely Dense Crowd Images—0
Improving Object Counting with Heatmap RegulationCode0
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingCode0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
CODA: Counting Objects via Scale-aware Adversarial Density AdaptionCode0
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density EstimationCode0
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
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