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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

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Showing 201–225 of 371 papers

TitleStatusHype
Uncertainty Estimation and Sample Selection for Crowd CountingCode0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
Distribution Matching for Crowd CountingCode1
A Study of Human Gaze Behavior During Visual Crowd Counting—0
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting—0
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations—0
Pixel-wise Crowd Understanding via Synthetic Data—0
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Learning Error-Driven Curriculum for Crowd Counting—0
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks—0
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningCode1
Active Crowd Counting with Limited Supervision—0
Fine-Grained Crowd Counting—0
Dense Crowds Detection and Counting with a Lightweight Architecture—0
Bayesian Multi Scale Neural Network for Crowd Counting—0
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Learning to Count in the Crowd from Limited Labeled Data—0
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks—0
Shallow Feature Based Dense Attention Network for Crowd Counting—0
Recurrent Distillation based Crowd Counting—0
Attention Scaling for Crowd Counting—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
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