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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 2130 of 371 papers

TitleStatusHype
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Backdoor Attacks on Crowd CountingCode1
Counting People by Estimating People FlowsCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Densely Connected Convolutional NetworksCode1
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
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