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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 221230 of 371 papers

TitleStatusHype
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks0
Shallow Feature Based Dense Attention Network for Crowd Counting0
Recurrent Distillation based Crowd Counting0
Attention Scaling for Crowd Counting0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting0
Relevant Region Prediction for Crowd Counting0
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method0
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
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