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CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP

15 March 2022
Mingjie Wang
Jun Zhou
Hao Cai
Minglun Gong
ArXivPDFHTML

Papers citing "CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP"

19 / 19 papers shown
Title
S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
S2^22-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
Tan Yu
Xu Li
Yunfeng Cai
Mingming Sun
Ping Li
58
51
0
02 Aug 2021
CycleMLP: A MLP-like Architecture for Dense Prediction
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen
Enze Xie
Chongjian Ge
Runjian Chen
Ding Liang
Ping Luo
125
233
0
21 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
401
2,672
0
04 May 2021
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
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Yan Liu
Lingqiao Liu
Peng Wang
Pingping Zhang
Yinjie Lei
SSL
39
77
0
07 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
363
13,002
0
26 May 2020
Monitoring COVID-19 social distancing with person detection and tracking
  via fine-tuned YOLO v3 and Deepsort techniques
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
Gaurav Rai
41
239
0
04 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
59
227
0
07 Apr 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
96
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
86
390
0
10 Jan 2020
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
49
176
0
28 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
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
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
580
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
679
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
128
1,337
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
82
887
0
01 Aug 2017
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in
  City Cameras
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
AI4TS
61
202
0
29 Jul 2017
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