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 21–30 of 371 papers

TitleStatusHype
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
Show:102550
← PrevPage 3 of 38Next →

No leaderboard results yet.