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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 341–350 of 371 papers

TitleStatusHype
A Unified Object Counting Network with Object Occupation PriorCode0
C^3 Framework: An Open-source PyTorch Code for Crowd CountingCode0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Multi-modal Crowd Counting via Modal EmulationCode0
Switching Convolutional Neural Network for Crowd CountingCode0
Scale Aggregation Network for Accurate and Efficient Crowd CountingCode0
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd CountingCode0
Multi-scale Convolutional Neural Networks for Crowd CountingCode0
Dual Path Multi-Scale Fusion Networks with Attention for Crowd CountingCode0
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