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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 51–60 of 371 papers

TitleStatusHype
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Counting People by Estimating People FlowsCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
Leveraging Self-Supervision for Cross-Domain Crowd CountingCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
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