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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 326–350 of 371 papers

TitleStatusHype
HDNet: A Hierarchically Decoupled Network for Crowd Counting—0
Hybrid attention network based on progressive embedding scale-context for crowd counting—0
Hybrid Graph Neural Networks for Crowd Counting—0
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting—0
Incorporating Side Information by Adaptive Convolution—0
In Defense of Single-column Networks for Crowd Counting—0
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes—0
In-field grape berries counting for yield estimation using dilated CNNs—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines—0
Inverse Attention Guided Deep Crowd Counting Network—0
Iterative Crowd Counting—0
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method—0
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting—0
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation—0
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance—0
Learning a perspective-embedded deconvolution network for crowd counting—0
Learning Discriminative Features for Crowd Counting—0
Learning Error-Driven Curriculum for Crowd Counting—0
Learning from Synthetic Data for Crowd Counting in the Wild—0
Learning Spatial Awareness to Improve Crowd Counting—0
Learning to Count in the Crowd from Limited Labeled Data—0
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting—0
Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting—0
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting—0
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