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Crowd Counting Edit

24 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).

262

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.

207

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.

133

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.

130

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.

96

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.

86

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.

81

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.

74

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.

62

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

24 May 2019gjy3035/PCC-Net

Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion.

39