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Crowd Counting

21 papers with code · Computer Vision
Subtask of Crowds

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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).

CROWD COUNTING

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.

ACTIVE LEARNING CROWD COUNTING IMAGE QUALITY ASSESSMENT LEARNING-TO-RANK

Switching Convolutional Neural Network for Crowd Counting

CVPR 2017 val-iisc/crowd-counting-scnn

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

CROWD COUNTING

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

30 Jul 2017svishwa/crowdcount-cascaded-mtl

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

CROWD COUNTING DENSITY ESTIMATION MULTI-TASK LEARNING

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.

CROWD COUNTING

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

CVPR 2018 xialeiliu/CrowdCountingCVPR18

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

CROWD COUNTING IMAGE RETRIEVAL LEARNING-TO-RANK

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.

CROWD COUNTING DENSITY ESTIMATION

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.

CROWD COUNTING

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.

CROWD COUNTING

Crowd Counting With Deep Negative Correlation Learning

CVPR 2018 shizenglin/Deep-NCL

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

CROWD COUNTING