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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 1–50 of 371 papers

TitleStatusHype
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson RegressionCode1
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingCode0
Crowd Scene Analysis using Deep Learning Techniques—0
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization NetworkCode0
A Short Overview of Multi-Modal Wi-Fi Sensing—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
ProgRoCC: A Progressive Approach to Rough Crowd Counting—0
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy RewardCode1
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd CountingCode0
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation—0
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
Video Individual Counting for Moving Drones—0
Embodied Crowd Counting—0
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images—0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
Free Lunch Enhancements for Multi-modal Crowd CountingCode1
Bound Tightening Network for Robust Crowd Counting—0
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning—0
Multi-modal Crowd Counting via Modal EmulationCode0
DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance SynergyCode0
Multi-modal Crowd Counting via a Broker ModalityCode1
FGA: Fourier-Guided Attention Network for Crowd Count Estimation—0
CountFormer: Multi-View Crowd Counting TransformerCode0
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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