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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 271–280 of 371 papers

TitleStatusHype
Incorporating Side Information by Adaptive Convolution—0
In Defense of Single-column Networks for Crowd Counting—0
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes—0
In-field grape berries counting for yield estimation using dilated CNNs—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines—0
Inverse Attention Guided Deep Crowd Counting Network—0
Iterative Crowd Counting—0
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method—0
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting—0
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