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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 26–50 of 371 papers

TitleStatusHype
POPCat: Propagation of particles for complex annotation tasks—0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point GuidanceCode2
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
The Effectiveness of a Simplified Model Structure for Crowd CountingCode1
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
Single Domain Generalization for Crowd CountingCode2
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
Multimodal Crowd Counting with Pix2Pix GANs—0
Curriculum for Crowd Counting -- Is it Worthy?—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
Gramformer: Learning Crowd Counting via Graph-Modulated TransformerCode1
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting—0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models—0
Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and BaselineCode3
Scale-Aware Crowd Count Network with Annotation Error Correction—0
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and BaselineCode2
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis—0
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