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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 301–350 of 371 papers

TitleStatusHype
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting—0
Multi-scale Feature Aggregation for Crowd Counting—0
Multi-source Multi-scale Counting in Extremely Dense Crowd Images—0
Improving Object Counting with Heatmap RegulationCode0
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingCode0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
CODA: Counting Objects via Scale-aware Adversarial Density AdaptionCode0
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density EstimationCode0
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested ScenesCode0
Single-Image Crowd Counting via Multi-Column Convolutional Neural NetworkCode0
CrowdNet: A Deep Convolutional Network for Dense Crowd CountingCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Crowd Counting With Partial Annotations in an ImageCode0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density EstimationCode0
Crowd Counting With Deep Negative Correlation LearningCode0
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd CountingCode0
A Real-Time Deep Network for Crowd CountingCode0
Class-Agnostic CountingCode0
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd EstimationCode0
An Improved Normed-Deformable Convolution for Crowd CountingCode0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
Residual Regression With Semantic Prior for Crowd CountingCode0
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level ClassificationCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
Image Crowd Counting Using Convolutional Neural Network and Markov Random FieldCode0
Locate, Size and Count: Accurately Resolving People in Dense Crowds via DetectionCode0
Crowd counting via scale-adaptive convolutional neural networkCode0
Crowd Counting via Perspective-Guided Fractional-Dilation ConvolutionCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Crowd Counting via Adversarial Cross-Scale Consistency PursuitCode0
Stacked Pooling: Improving Crowd Counting by Boosting Scale InvarianceCode0
Adaptive Scenario Discovery for Crowd CountingCode0
Crowd Counting on Images with Scale Variation and Isolated ClustersCode0
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground ImageryCode0
A Unified Object Counting Network with Object Occupation PriorCode0
C^3 Framework: An Open-source PyTorch Code for Crowd CountingCode0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Multi-modal Crowd Counting via Modal EmulationCode0
Switching Convolutional Neural Network for Crowd CountingCode0
Scale Aggregation Network for Accurate and Efficient Crowd CountingCode0
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd CountingCode0
Multi-scale Convolutional Neural Networks for Crowd CountingCode0
Dual Path Multi-Scale Fusion Networks with Attention for Crowd CountingCode0
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