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 141150 of 371 papers

TitleStatusHype
An Improved Normed-Deformable Convolution for Crowd CountingCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
CountFormer: Multi-View Crowd Counting TransformerCode0
Density-based clustering with fully-convolutional networks for crowd flow detection from dronesCode0
A Unified Object Counting Network with Object Occupation PriorCode0
DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance SynergyCode0
Dense Scale Network for Crowd CountingCode0
Context-Aware Crowd CountingCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City ApplicationsCode0
Show:102550
← PrevPage 15 of 38Next →

No leaderboard results yet.