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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 31–40 of 371 papers

TitleStatusHype
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Counting People by Estimating People FlowsCode1
Backdoor Attacks on Crowd CountingCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
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