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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 121–130 of 371 papers

TitleStatusHype
Image Crowd Counting Using Convolutional Neural Network and Markov Random FieldCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
A Real-Time Deep Network for Crowd CountingCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Dual Path Multi-Scale Fusion Networks with Attention for Crowd CountingCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
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