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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
DAFE-FD: Density Aware Feature Enrichment for Face Detection—0
Mask-aware networks for crowd counting—0
Adaptive Scenario Discovery for Crowd CountingCode0
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd UnderstandingCode0
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting—0
Context-Aware Crowd CountingCode0
PaDNet: Pan-Density Crowd Counting—0
Class-Agnostic CountingCode0
Scale Aggregation Network for Accurate and Efficient Crowd CountingCode0
Stacked Pooling: Improving Crowd Counting by Boosting Scale InvarianceCode0
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