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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 311–320 of 371 papers

TitleStatusHype
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
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