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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 4150 of 371 papers

TitleStatusHype
Multimodal Crowd Counting with Pix2Pix GANs0
Curriculum for Crowd Counting -- Is it Worthy?0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting0
Gramformer: Learning Crowd Counting via Graph-Modulated TransformerCode1
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models0
Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and BaselineCode3
Scale-Aware Crowd Count Network with Annotation Error Correction0
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and BaselineCode2
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis0
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