Browse > Computer Vision > Crowds > Crowd Counting

# Crowd Counting Edit

21 papers with code · Computer Vision

Trend Dataset Best Method Paper title Paper Code Compare

# C^3 Framework: An Open-source PyTorch Code for Crowd Counting

5 Jul 2019gjy3035/C-3-Framework

This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (C$^3$F).

235

# Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

17 Feb 2019xialeiliu/RankIQA

Our results show that networks trained to regress to the ground truth targets for labeled data and to simultaneously learn to rank unlabeled data obtain significantly better, state-of-the-art results for both IQA and crowd counting.

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# Switching Convolutional Neural Network for Crowd Counting

It is observed that the switch relays an image patch to a particular CNN column based on density of crowd.

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# CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting

Estimating crowd count in densely crowded scenes is an extremely challenging task due to non-uniform scale variations.

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# Crowd counting via scale-adaptive convolutional neural network

13 Nov 2017miao0913/SaCNN-CrowdCounting-Tencent_Youtu

The task of crowd counting is to automatically estimate the pedestrian number in crowd images.

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# Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

We propose a novel crowd counting approach that leverages abundantly available unlabeled crowd imagery in a learning-to-rank framework.

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# Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance

22 Aug 2018siyuhuang/crowdcount-stackpool

In this work, we explore the cross-scale similarity in crowd counting scenario, in which the regions of different scales often exhibit high visual similarity.

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# Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection

18 Jun 2019val-iisc/lsc-cnn

We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm.

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# Multi-scale Convolutional Neural Networks for Crowd Counting

8 Feb 2017Ling-Bao/mscnn

Crowd counting on static images is a challenging problem due to scale variations.

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# Crowd Counting With Deep Negative Correlation Learning

Deep convolutional networks (ConvNets) have achieved unprecedented performances on many computer vision tasks.

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