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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

Showing 131140 of 371 papers

TitleStatusHype
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd UnderstandingCode0
An Improved Normed-Deformable Convolution for Crowd CountingCode0
CountFormer: Multi-View Crowd Counting TransformerCode0
Dense Scale Network for Crowd CountingCode0
Context-Aware Crowd CountingCode0
A Unified Object Counting Network with Object Occupation PriorCode0
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