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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 7180 of 371 papers

TitleStatusHype
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception TasksCode1
Application-Driven AI Paradigm for Person Counting in Various Scenarios0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Crowd Counting with Online Knowledge Learning0
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Super-Resolution Information Enhancement For Crowd CountingCode1
HumanBench: Towards General Human-centric Perception with Projector Assisted PretrainingCode2
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance0
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks0
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