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CCTrans: Simplifying and Improving Crowd Counting with Transformer

CCTrans: Simplifying and Improving Crowd Counting with Transformer

29 September 2021
Ye Tian
Xiangxiang Chu
Hongpeng Wang
    ViT
ArXivPDFHTML

Papers citing "CCTrans: Simplifying and Improving Crowd Counting with Transformer"

32 / 32 papers shown
Title
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Y. Meng
Hongrun Zhang
Yitian Zhao
Xiaoyun Yang
Xuesheng Qian
Xiaowei Huang
Yalin Zheng
OT
49
89
0
28 Jul 2021
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
69
263
0
27 Jul 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
79
1,013
0
28 Apr 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
404
21,347
0
25 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
491
3,709
0
24 Feb 2021
Conditional Positional Encodings for Vision Transformers
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu
Zhi Tian
Bo Zhang
Xinlong Wang
Chunhua Shen
ViT
74
615
0
22 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
176
2,893
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
347
6,731
0
23 Dec 2020
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
532
40,739
0
22 Oct 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
69
288
0
28 Sep 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
63
72
0
16 Jul 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
351
13,002
0
26 May 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
50
113
0
12 May 2020
Towards Using Count-level Weak Supervision for Crowd Counting
Towards Using Count-level Weak Supervision for Crowd Counting
Yinjie Lei
Yan Liu
Pingping Zhang
Lingqiao Liu
52
95
0
29 Feb 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
81
390
0
10 Jan 2020
Perspective-Guided Convolution Networks for Crowd Counting
Perspective-Guided Convolution Networks for Crowd Counting
Zhaoyi Yan
Yuchen Yuan
W. Zuo
Xiao Tan
Yezhen Wang
Shilei Wen
Errui Ding
56
194
0
16 Sep 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
47
234
0
23 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
57
167
0
15 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
125
488
0
10 Aug 2019
Point in, Box out: Beyond Counting Persons in Crowds
Point in, Box out: Beyond Counting Persons in Crowds
Yuting Liu
Miaojing Shi
Qijun Zhao
Xiaofang Wang
3DPC
49
192
0
02 Apr 2019
Counting with Focus for Free
Counting with Focus for Free
Zenglin Shi
Pascal Mettes
Cees G. M. Snoek
3DV
3DPC
38
107
0
28 Mar 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
79
527
0
08 Mar 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
52
176
0
17 Feb 2019
ADCrowdNet: An Attention-injective Deformable Convolutional Network for
  Crowd Understanding
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Ning Liu
Yongchao Long
C. Zou
Qun Niu
Li Pan
Hefeng Wu
55
283
0
29 Nov 2018
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DV
HAI
65
578
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
76
678
0
02 Aug 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
125
1,334
0
27 Feb 2018
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
63
1,261
0
21 Nov 2017
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Vishwanath A. Sindagi
Vishal M. Patel
68
622
0
02 Aug 2017
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
82
885
0
01 Aug 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
221
18,195
0
02 Jun 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
354
14,223
0
23 Feb 2016
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