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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 7180 of 371 papers

TitleStatusHype
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Distribution Matching for Crowd CountingCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningCode1
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
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