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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

Showing 2130 of 371 papers

TitleStatusHype
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception TasksCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Super-Resolution Information Enhancement For Crowd CountingCode1
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
Improving Deep Regression with Ordinal EntropyCode1
RGB-T Multi-Modal Crowd Counting Based on TransformerCode1
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised CountingCode1
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