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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 76–100 of 371 papers

TitleStatusHype
Free Lunch Enhancements for Multi-modal Crowd CountingCode1
FusionCount: Efficient Crowd Counting via Multiscale Feature FusionCode1
Counting People by Estimating People FlowsCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Densely Connected Convolutional NetworksCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Leveraging Self-Supervision for Cross-Domain Crowd CountingCode1
Localization in the Crowd with Topological ConstraintsCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
RGB-T Multi-Modal Crowd Counting Based on TransformerCode1
Attention Scaling for Crowd Counting—0
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
Attentional Neural Fields for Crowd Counting—0
Crowd Transformer Network—0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs—0
A Generalized Loss Function for Crowd Counting and Localization—0
A Survey on Computer Vision based Human Analysis in the COVID-19 Era—0
Crowd Scene Analysis using Deep Learning Techniques—0
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting—0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
Causal Influence in Federated Edge Inference—0
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