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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 8190 of 371 papers

TitleStatusHype
Improving Deep Regression with Ordinal EntropyCode1
Density-based clustering with fully-convolutional networks for crowd flow detection from dronesCode0
RGB-T Multi-Modal Crowd Counting Based on TransformerCode1
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised CountingCode1
A Unified Object Counting Network with Object Occupation PriorCode0
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networksCode1
HDNet: A Hierarchically Decoupled Network for Crowd Counting0
Progressive Multi-resolution Loss for Crowd CountingCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
Crowd Density Estimation using Imperfect Labels0
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