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Crowd Counting

27 papers with code · Computer Vision
Subtask of Crowds

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NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting

10 Jan 2020gjy3035/Awesome-Crowd-Counting

In the last decade, crowd counting attracts much attention of researchers due to its wide-spread applications, including crowd monitoring, public safety, space design, etc.

CROWD COUNTING

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

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

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

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

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

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

Bayesian Loss for Crowd Count Estimation with Point Supervision

ICCV 2019 ZhihengCV/Baysian-Crowd-Counting

In crowd counting datasets, each person is annotated by a point, which is usually the center of the head.

CROWD COUNTING

From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

ICCV 2019 xhp-hust-2018-2011/S-DCNet

A dense region can always be divided until sub-region counts are within the previously observed closed set.

CROWD COUNTING