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 121–130 of 371 papers

TitleStatusHype
Curriculum for Crowd Counting -- Is it Worthy?—0
Multimodal Crowd Counting with Pix2Pix GANs—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting—0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models—0
Scale-Aware Crowd Count Network with Annotation Error Correction—0
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis—0
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting—0
Learning Discriminative Features for Crowd Counting—0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Show:102550
← PrevPage 13 of 38Next →

No leaderboard results yet.