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Leveraging Self-Supervision for Cross-Domain Crowd Counting

Leveraging Self-Supervision for Cross-Domain Crowd Counting

30 March 2021
Weizhe Liu
Nikita Durasov
Pascal Fua
ArXivPDFHTML

Papers citing "Leveraging Self-Supervision for Cross-Domain Crowd Counting"

30 / 30 papers shown
Title
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Junyu Gao
Da Zhang
Qiyu Wang
Zhiyuan Zhao
Xuelong Li
67
0
0
22 Apr 2024
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu
Diana Inkpen
Ahmed El-Roby
25
167
0
07 Jul 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
68
891
0
11 Apr 2020
Phase Consistent Ecological Domain Adaptation
Phase Consistent Ecological Domain Adaptation
Yanchao Yang
Dong Lao
G. Sundaramoorthi
Stefano Soatto
38
116
0
10 Apr 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Q. Tian
103
244
0
30 Mar 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
30
45
0
20 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
61
315
0
15 Feb 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
47
176
0
28 Aug 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
318
793
0
26 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
47
165
0
15 Aug 2019
Locality-constrained Spatial Transformer Network for Video Crowd
  Counting
Locality-constrained Spatial Transformer Network for Video Crowd Counting
Yanyan Fang
Bi-Sheng Zhan
Wandi Cai
Shenghua Gao
Bo Hu
ViT
47
103
0
18 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
64
83
0
08 Jul 2019
Attending to Discriminative Certainty for Domain Adaptation
Attending to Discriminative Certainty for Domain Adaptation
V. Kurmi
Shanu Kumar
Vinay P. Namboodiri
OOD
46
108
0
08 Jun 2019
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
41
120
0
29 May 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
Chong-Wah Ngo
Tao Mei
71
342
0
25 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
67
525
0
08 Mar 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
49
282
0
29 Nov 2018
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DV
HAI
52
576
0
26 Nov 2018
Progressive Feature Alignment for Unsupervised Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
50
409
0
21 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
56
675
0
02 Aug 2018
Iterative Crowd Counting
Iterative Crowd Counting
Viresh Ranjan
Hieu M. Le
Minh Hoai
3DV
22
274
0
26 Jul 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
114
1,325
0
27 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
125
2,992
0
08 Nov 2017
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
69
885
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
52
202
0
29 Jul 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
203
4,646
0
17 Feb 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
69
787
0
08 Dec 2016
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
64
1,367
0
08 Oct 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
189
5,177
0
10 Feb 2015
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