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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 6170 of 371 papers

TitleStatusHype
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Focal Inverse Distance Transform Maps for Crowd LocalizationCode1
Counting People by Estimating People FlowsCode1
Crowd Counting in the Frequency DomainCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy RewardCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Densely Connected Convolutional NetworksCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
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