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Mask Focal Loss: A unifying framework for dense crowd counting with
  canonical object detection networks

Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks

22 December 2022
Xiaopin Zhong
Guan Wang
Weixiang Liu
Zongze Wu
Yuanlong Deng
ArXivPDFHTML

Papers citing "Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks"

50 / 55 papers shown
Title
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A
  Modified Yolov8 for Head Detection
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
Jiezhou Chen
Guankun Wang
Weixiang Liu
Xiaopin Zhong
Yibin Tian
Zongze Wu
CVBM
124
1
0
14 Oct 2023
Cross-View Cross-Scene Multi-View Crowd Counting
Cross-View Cross-Scene Multi-View Crowd Counting
Qi Zhang
Wei Lin
Antoni B. Chan
77
63
0
03 May 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss
  Functions
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Zhaoqi Leng
Mingxing Tan
Chenxi Liu
E. D. Cubuk
Xiaojie Shi
Shuyang Cheng
Drago Anguelov
55
139
0
26 Apr 2022
Enhancing and Dissecting Crowd Counting By Synthetic Data
Enhancing and Dissecting Crowd Counting By Synthetic Data
Yi Hou
Chengyang Li
Yuheng Lu
Liping Zhu
Yuan Li
Huizhu Jia
Xiaodong Xie
61
10
0
22 Jan 2022
Active Learning for Deep Visual Tracking
Active Learning for Deep Visual Tracking
Di Yuan
Xiaojun Chang
Yi Yang
Qiao Liu
Dehua Wang
Zhenyu He
53
90
0
17 Oct 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
74
264
0
27 Jul 2021
Dense Point Prediction: A Simple Baseline for Crowd Counting and
  Localization
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization
Yi Wang
Xinyu Hou
Lap-Pui Chau
3DPC
74
24
0
26 Apr 2021
Tracking Pedestrian Heads in Dense Crowd
Tracking Pedestrian Heads in Dense Crowd
Ramanathan Sundararaman
Cédric Braga
É. Marchand
J. Pettré
VOT
69
77
0
24 Mar 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
69
407
0
08 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
114
22
0
31 Dec 2020
A Self-Training Approach for Point-Supervised Object Detection and
  Counting in Crowds
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds
Yi Wang
Junhui Hou
Xinyu Hou
Lap-Pui Chau
3DPC
73
90
0
25 Jul 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding
  Boxes for Dense Object Detection
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li
Wenhai Wang
Lijun Wu
Shuo Chen
Xiaolin Hu
Jun Li
Jinhui Tang
Jian Yang
ObjD
71
1,199
0
08 Jun 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
65
227
0
07 Apr 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
67
155
0
28 Mar 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
94
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
Estimating People Flows to Better Count Them in Crowded Scenes
Estimating People Flows to Better Count Them in Crowded Scenes
Weizhe Liu
Mathieu Salzmann
Pascal Fua
OT
3DH
56
38
0
25 Nov 2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and
  Benchmark Method
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
54
89
0
28 Oct 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
119
354
0
25 Sep 2019
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
61
194
0
16 Sep 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
A Survey of Deep Learning-based Object Detection
A Survey of Deep Learning-based Object Detection
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
Lingling Li
Zhixi Feng
Rong Qu
ObjD
71
969
0
11 Jul 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
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao
Qi. Wang
Xuelong Li
67
212
0
24 May 2019
CornerNet-Lite: Efficient Keypoint Based Object Detection
CornerNet-Lite: Efficient Keypoint Based Object Detection
Hei Law
Yun Teng
Olga Russakovsky
Jia Deng
77
175
0
18 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
110
3,257
0
16 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
130
5,008
0
02 Apr 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
58
192
0
02 Apr 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
82
529
0
08 Mar 2019
Region Proposal by Guided Anchoring
Region Proposal by Guided Anchoring
Jiaqi Wang
Kai-xiang Chen
Shuo Yang
Chen Change Loy
Dahua Lin
ObjD
74
547
0
10 Jan 2019
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DV
HAI
75
583
0
26 Nov 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
69
3,619
0
03 Aug 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
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
58
199
0
25 Jul 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
82
401
0
23 Jul 2018
Attention to Head Locations for Crowd Counting
Attention to Head Locations for Crowd Counting
Youmei Zhang
Chunluan Zhou
F. Chang
Alex C. Kot
33
29
0
27 Jun 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
276
686
0
30 Apr 2018
Detecting Heads using Feature Refine Net and Cascaded Multi-Scale
  Architecture
Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture
Dezhi Peng
Zikai Sun
Zirong Chen
Zirui Cai
Lele Xie
Lianwen Jin
51
61
0
25 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
134
1,338
0
27 Feb 2018
DecideNet: Counting Varying Density Crowds Through Attention Guided
  Detection and Density Estimation
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
Jiang-Dong Liu
Chenqiang Gao
Deyu Meng
Alexander G. Hauptmann
59
347
0
18 Dec 2017
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang
Yu Xiang
Xiaocheng Li
Silvio Savarese
VOT
68
244
0
07 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
71
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
85
889
0
01 Aug 2017
CNN-based Cascaded Multi-task Learning of High-level Prior and Density
  Estimation for Crowd Counting
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
53
506
0
30 Jul 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
146
1,329
0
20 Jul 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
77
541
0
05 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
471
22,108
0
09 Dec 2016
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face
  Detection
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Chenchen Zhu
Yutong Zheng
Khoa Luu
Marios Savvides
ObjD
CVBM
46
249
0
17 Jun 2016
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
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