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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 3140 of 371 papers

TitleStatusHype
Detection, Tracking, and Counting Meets Drones in Crowds: A BenchmarkCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Densely Connected Convolutional NetworksCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Backdoor Attacks on Crowd CountingCode1
Dense Point Prediction: A Simple Baseline for Crowd Counting and LocalizationCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Crowd Counting in the Frequency DomainCode1
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