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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–100 of 371 papers

TitleStatusHype
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
Class-Agnostic CountingCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground ImageryCode0
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density EstimationCode0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Improving Object Counting with Heatmap RegulationCode0
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
Show:102550
← PrevPage 10 of 38Next →

No leaderboard results yet.