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PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense
  Object Counting in Remote Sensing Images
v1v2v3 (latest)

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images

7 December 2020
Guangshuai Gao
Qingjie Liu
Zhenghui Hu
Lu Li
Qi Wen
Yunhong Wang
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images"

40 / 40 papers shown
Title
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Peng Liu
Sen Lei
Heng-Chao Li
Mamba
89
1
0
12 Jan 2025
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
121
15
0
20 Sep 2024
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training
  for Road Segmentation of Remote Sensing Images
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Lefei Zhang
Meng Lan
Jing Zhang
Dacheng Tao
75
128
0
28 Aug 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
Longyin Wen
Dawei Du
Pengfei Zhu
Q. Hu
Qilong Wang
Liefeng Bo
Siwei Lyu
95
94
0
06 May 2021
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
81
290
0
28 Sep 2020
Counting from Sky: A Large-scale Dataset for Remote Sensing Object
  Counting and A Benchmark Method
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
Guangshuai Gao
Qingjie Liu
Yunhong Wang
61
55
0
28 Aug 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
70
198
0
20 Jun 2020
Shallow Feature Based Dense Attention Network for Crowd Counting
Shallow Feature Based Dense Attention Network for Crowd Counting
Yunqi Miao
Zijia Lin
Guiguang Ding
Jungong Han
68
110
0
17 Jun 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
112
155
0
28 Mar 2020
Counting dense objects in remote sensing images
Counting dense objects in remote sensing images
Guangshuai Gao
Qingjie Liu
Yunhong Wang
66
24
0
14 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
84
84
0
31 Jan 2020
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
155
4,059
0
08 Oct 2019
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground
  Imagery
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
R. Bahmanyar
E. Vig
P. Reinartz
65
44
0
27 Sep 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
60
211
0
25 Sep 2019
Improving the Learning of Multi-column Convolutional Neural Network for
  Crowd Counting
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Zhi-Qi Cheng
Jun-Xiu Li
Qi Dai
Xiao-Jun Wu
Jun-Yan He
Alexander G. Hauptmann
SSL
63
88
0
17 Sep 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
88
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
62
235
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
83
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
135
495
0
10 Aug 2019
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd
  Counting
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Chenfeng Xu
Kai Qiu
Jianlong Fu
S. Bai
Yongchao Xu
X. Bai
68
128
0
29 Jul 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
99
188
0
24 Jul 2019
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
71
108
0
15 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
95
531
0
08 Mar 2019
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Liang Zhu
Zhijian Zhao
Chao Lu
Yining Lin
Yao Peng
Tangren Yao
3DPC
67
80
0
04 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
85
284
0
29 Nov 2018
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DVHAI
86
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
91
681
0
02 Aug 2018
Iterative Crowd Counting
Iterative Crowd Counting
Viresh Ranjan
Hieu M. Le
Minh Hoai
3DV
73
276
0
26 Jul 2018
Where are the Blobs: Counting by Localization with Point Supervision
Where are the Blobs: Counting by Localization with Point Supervision
I. Laradji
Negar Rostamzadeh
Pedro H. O. Pinheiro
David Vazquez
Mark Schmidt
71
199
0
25 Jul 2018
An Aggregated Multicolumn Dilated Convolution Network for
  Perspective-Free Counting
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting
Diptodip Deb
Jonathan Ventura
78
84
0
20 Apr 2018
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du
Yuankai Qi
Hongyang Yu
Yi-Fan Yang
Kaiwen Duan
Guorong Li
Wentao Zhang
Qingming Huang
Q. Tian
95
671
0
26 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
169
1,343
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
124
889
0
01 Aug 2017
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and
  Density Estimation
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation
Vishwanath A. Sindagi
Vishal M. Patel
107
543
0
05 Jul 2017
Understanding Traffic Density from Large-Scale Web Camera Data
Understanding Traffic Density from Large-Scale Web Camera Data
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
83
134
0
17 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,660
0
25 Dec 2016
A Large Contextual Dataset for Classification, Detection and Counting of
  Cars with Deep Learning
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk
G. Konjevod
W. Sakla
K. Boakye
93
338
0
14 Sep 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
278
8,467
0
23 Nov 2015
Crowded Scene Analysis: A Survey
Crowded Scene Analysis: A Survey
Teng Li
Huan Chang
Meng Wang
Bingbing Ni
Richang Hong
Shuicheng Yan
3DV
76
465
0
06 Feb 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
425
11,264
0
18 Jun 2014
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