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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 41–50 of 371 papers

TitleStatusHype
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Boosting Detection in Crowd Analysis via Underutilized Output FeaturesCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
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