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Progressive Multi-resolution Loss for Crowd Counting

Progressive Multi-resolution Loss for Crowd Counting

8 December 2022
Ziheng Yan
Yuankai Qi
Guorong Li
Xinyan Liu
Weigang Zhang
Qingming Huang
Ming-Hsuan Yang
ArXiv (abs)PDFHTML

Papers citing "Progressive Multi-resolution Loss for Crowd Counting"

33 / 33 papers shown
Title
Super-Resolution Information Enhancement For Crowd Counting
Super-Resolution Information Enhancement For Crowd Counting
Jiahao Xie
Wei Xu
Dingkang Liang
Zhanyu Ma
Kongming Liang
Weidong Liu
Rui Wang
Ling Jin
69
11
0
13 Mar 2023
A Unified Object Counting Network with Object Occupation Prior
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang
Qing Wang
Fengna Cheng
Yuankai Qi
Qingshan Liu
72
7
0
29 Dec 2022
Semi-supervised Crowd Counting via Density Agency
Semi-supervised Crowd Counting via Density Agency
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Yao Wang
Zhou Su
OT
60
30
0
07 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
Stefanos Zafeiriou
81
48
0
04 Aug 2022
Counting Varying Density Crowds Through Density Guided Adaptive
  Selection CNN and Transformer Estimation
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
Yuehai Chen
Jing Yang
Badong Chen
S. Du
51
32
0
21 Jun 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
80
98
0
10 Jun 2022
An End-to-End Transformer Model for Crowd Localization
An End-to-End Transformer Model for Crowd Localization
Dingkang Liang
Wei Xu
Xiang Bai
50
122
0
26 Feb 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
168
5,192
0
10 Jan 2022
Rethinking Counting and Localization in Crowds:A Purely Point-Based
  Framework
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
Qingyu Song
Changan Wang
Zhengkai Jiang
Yabiao Wang
Ying Tai
Chengjie Wang
Jilin Li
Feiyue Huang
Yang Wu
74
264
0
27 Jul 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
450
21,439
0
25 Mar 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
72
122
0
16 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
657
41,103
0
22 Oct 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
74
288
0
28 Sep 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd
  Counting
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu
Jie Yang
Wenrui Ding
62
113
0
12 May 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
68
227
0
07 Apr 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi. Wang
Junyu Gao
Wei Lin
Xuelong Li
97
390
0
10 Jan 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
92
106
0
20 Dec 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
63
176
0
28 Aug 2019
Crowd Counting with Deep Structured Scale Integration Network
Crowd Counting with Deep Structured Scale Integration Network
Lingbo Liu
Zhilin Qiu
Guanbin Li
Shufan Liu
Wanli Ouyang
Liang Lin
52
235
0
23 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
390
3,614
0
20 Aug 2019
From Open Set to Closed Set: Counting Objects by Spatial
  Divide-and-Conquer
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Zhiguo Cao
Chunhua Shen
64
167
0
15 Aug 2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd
  Counting
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao
Qi. Wang
Yuan. Yuan
58
195
0
10 Aug 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
3DPC
128
491
0
10 Aug 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via
  Detection
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam
Skand Peri
Mukuntha Narayanan Sundararaman
Amogh Kamath
R. Venkatesh Babu
77
229
0
18 Jun 2019
Learning from Synthetic Data for Crowd Counting in the Wild
Learning from Synthetic Data for Crowd Counting in the Wild
Qi. Wang
Junyu Gao
Wei Lin
Yuan. Yuan
85
529
0
08 Mar 2019
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DVHAI
78
583
0
26 Nov 2018
Composition Loss for Counting, Density Map Estimation and Localization
  in Dense Crowds
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Haroon Idrees
Muhmmad Tayyab
Kishan Athrey
Dong Zhang
S. Al-Maadeed
Nasir M. Rajpoot
M. Shah
80
679
0
02 Aug 2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
54
287
0
08 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
222
2,148
0
01 Mar 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li
Xiaofan Zhang
Deming Chen
140
1,340
0
27 Feb 2018
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
85
889
0
01 Aug 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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