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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 111–120 of 371 papers

TitleStatusHype
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Crowd Counting and Individual Localization Using Pseudo Square Label—0
VMambaCC: A Visual State Space Model for Crowd Counting—0
Causal Influence in Federated Edge Inference—0
Möbius Transform for Mitigating Perspective Distortions in Representation Learning—0
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video—0
Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM—0
Semi-supervised Counting via Pixel-by-pixel Density Distribution ModellingCode0
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd CountingCode0
Diffusion-based Data Augmentation for Object Counting Problems—0
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