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 51–75 of 371 papers

TitleStatusHype
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd CountingCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Spatial Uncertainty-Aware Semi-Supervised Crowd CountingCode1
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd CountingCode1
Rethinking Counting and Localization in Crowds:A Purely Point-Based FrameworkCode1
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge ResultsCode1
Detection, Tracking, and Counting Meets Drones in Crowds: A BenchmarkCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Dense Point Prediction: A Simple Baseline for Crowd Counting and LocalizationCode1
TransCrowd: weakly-supervised crowd counting with transformersCode1
Leveraging Self-Supervision for Cross-Domain Crowd CountingCode1
Focal Inverse Distance Transform Maps for Crowd LocalizationCode1
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd CountingCode1
Rethinking Counting and Localization in Crowds: A Purely Point-Based FrameworkCode1
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
Localization in the Crowd with Topological ConstraintsCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing ImagesCode1
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large ScenesCode1
Counting People by Estimating People FlowsCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Distribution Matching for Crowd CountingCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Show:102550
← PrevPage 3 of 15Next →

No leaderboard results yet.