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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 4150 of 371 papers

TitleStatusHype
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Boosting Detection in Crowd Analysis via Underutilized Output FeaturesCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Efficient Crowd Counting via Structured Knowledge TransferCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
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