SOTAVerified

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 11–20 of 371 papers

TitleStatusHype
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
Show:102550
← PrevPage 2 of 38Next →

No leaderboard results yet.