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 171–180 of 371 papers

TitleStatusHype
Crowd Density Estimation using Imperfect Labels—0
Crowd Counting with Sparse Annotation—0
Crowd counting with segmentation attention convolutional neural network—0
A Survey on Computer Vision based Human Analysis in the COVID-19 Era—0
A Generalized Loss Function for Crowd Counting and Localization—0
Crowd Counting with Online Knowledge Learning—0
Crowd Counting with Density Adaption Networks—0
Crowd Counting with Deep Structured Scale Integration Network—0
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting—0
Crowd Counting with Decomposed Uncertainty—0
Show:102550
← PrevPage 18 of 38Next →

No leaderboard results yet.