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Cross-head Supervision for Crowd Counting with Noisy Annotations

Cross-head Supervision for Crowd Counting with Noisy Annotations

16 March 2023
Mingliang Dai
Zhizhong Huang
Jiaqi Gao
Hongming Shan
Junping Zhang
ArXivPDFHTML

Papers citing "Cross-head Supervision for Crowd Counting with Noisy Annotations"

20 / 20 papers shown
Title
Twin Contrastive Learning with Noisy Labels
Twin Contrastive Learning with Noisy Labels
Zhizhong Huang
Junping Zhang
Hongming Shan
NoLa
35
57
0
13 Mar 2023
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
78
98
0
10 Jun 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
Jianmin Wang
Fei-Yue Wang
Junping Zhang
65
21
0
06 May 2022
Boosting Crowd Counting via Multifaceted Attention
Boosting Crowd Counting via Multifaceted Attention
Hui Lin
Zhiheng Ma
Rongrong Ji
Yaowei Wang
Xiaopeng Hong
63
149
0
05 Mar 2022
Multiscale Crowd Counting and Localization By Multitask Point
  Supervision
Multiscale Crowd Counting and Localization By Multitask Point Supervision
Mohsen Zand
Haleh Damirchi
A. Farley
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
3DPC
75
33
0
21 Feb 2022
Uncertainty Estimation and Sample Selection for Crowd Counting
Uncertainty Estimation and Sample Selection for Crowd Counting
Viresh Ranjan
Boyu Wang
M. Shah
Minh Hoai
UQCV
54
25
0
30 Sep 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
66
72
0
16 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
99
565
0
30 Jun 2020
Learning Spatial Awareness to Improve Crowd Counting
Learning Spatial Awareness to Improve Crowd Counting
Zhi-Qi Cheng
Jun-Xiu Li
Qi Dai
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
52
130
0
16 Sep 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
491
0
10 Aug 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
78
611
0
25 Apr 2019
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
59
108
0
15 Mar 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
3DV
53
324
0
03 Mar 2019
PaDNet: Pan-Density Crowd Counting
PaDNet: Pan-Density Crowd Counting
Yukun Tian
Yiming Lei
Junping Zhang
Ming Wang
62
102
0
07 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
1,338
0
27 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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