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 151–175 of 371 papers

TitleStatusHype
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video—0
FGA: Fourier-Guided Attention Network for Crowd Count Estimation—0
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network—0
BBA-net: A bi-branch attention network for crowd counting—0
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks—0
Application-Driven AI Paradigm for Person Counting in Various Scenarios—0
A Deeply-Recursive Convolutional Network for Crowd Counting—0
Enhanced Information Fusion Network for Crowd Counting—0
Enhanced 3D convolutional networks for crowd counting—0
Crossing the Line: Crowd Counting by Integer Programming with Local Features—0
Bayesian Multi Scale Neural Network for Crowd Counting—0
Embodied Crowd Counting—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation—0
Enhancing and Dissecting Crowd Counting By Synthetic Data—0
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images—0
Bayesian Model Adaptation for Crowd Counts—0
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network—0
Cross-View Cross-Scene Multi-View Crowd Counting—0
Hybrid attention network based on progressive embedding scale-context for crowd counting—0
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting—0
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs—0
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting—0
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
Show:102550
← PrevPage 7 of 15Next →

No leaderboard results yet.