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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 226–250 of 371 papers

TitleStatusHype
Relevant Region Prediction for Crowd Counting—0
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 Method—0
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
Understanding the impact of mistakes on background regions in crowd counting—0
CNN-based Density Estimation and Crowd Counting: A SurveyCode2
Efficient Crowd Counting via Structured Knowledge TransferCode1
3D Crowd Counting via Geometric Attention-guided Multi-View Fusion—0
Encoder-Decoder Based Convolutional Neural Network with Multi-Scale-Aware Modules for Crowd CountingCode1
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning—0
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd CountingCode1
Crowd Counting via Hierarchical Scale Recalibration Network—0
NAS-Count: Counting-by-Density with Neural Architecture Search—0
Towards Using Count-level Weak Supervision for Crowd Counting—0
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images—0
Multi-Stream Networks and Ground-Truth Generation for Crowd CountingCode0
A Real-Time Deep Network for Crowd CountingCode0
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Hybrid Graph Neural Networks for Crowd Counting—0
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting—0
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and LocalizationCode2
Plug-and-Play Rescaling Based Crowd Counting in Static Images—0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression—0
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