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 2130 of 371 papers

TitleStatusHype
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Backdoor Attacks on Crowd CountingCode1
Boosting Detection in Crowd Analysis via Underutilized Output FeaturesCode1
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
Crowd Counting in the Frequency DomainCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Show:102550
← PrevPage 3 of 38Next →

No leaderboard results yet.