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Improving Dense Crowd Counting Convolutional Neural Networks using
  Inverse k-Nearest Neighbor Maps and Multiscale Upsampling

Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling

31 January 2019
Greg Olmschenk
Hao Tang
Zhigang Zhu
ArXivPDFHTML

Papers citing "Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling"

5 / 5 papers shown
Title
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition
  for Crowd Counting
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
Changan Wang
Qingyu Song
Boshen Zhang
Yabiao Wang
Ying Tai
Xuyi Hu
Chengjie Wang
Jilin Li
Jiayi Ma
Yang Wu
22
38
0
27 Jul 2021
Focal Inverse Distance Transform Maps for Crowd Localization
Focal Inverse Distance Transform Maps for Crowd Localization
Dingkang Liang
Wei Xu
Yingying Zhu
Yu Zhou
21
117
0
16 Feb 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network
  Design, Loss Function and Supervisory Signal
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
46
22
0
31 Dec 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
27
154
0
28 Mar 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
Masayoshi Tomizuka
34
105
0
20 Dec 2019
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