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Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation

Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation

23 July 2021
Ruifei He
Jihan Yang
Xiaojuan Qi
ArXivPDFHTML

Papers citing "Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation"

50 / 57 papers shown
Title
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation
Dengke Zhang
Quan Tang
Fagui Liu
C. L. Philip Chen
Haiqing Mei
ViT
102
0
0
04 Mar 2025
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
87
10
0
14 Oct 2024
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
  Detection
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
3DPC
31
187
0
09 Mar 2021
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
37
247
0
12 Aug 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
29
160
0
17 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
36
336
0
15 Jul 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
55
647
0
11 Jun 2020
Transferring and Regularizing Prediction for Semantic Segmentation
Transferring and Regularizing Prediction for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Chong-Wah Ngo
Dong Liu
Tao Mei
33
36
0
11 Jun 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
42
76
0
20 May 2020
Improving Semantic Segmentation via Self-Training
Improving Semantic Segmentation via Self-Training
Yi Zhu
Zhongyue Zhang
Chongruo Wu
Zhi-Li Zhang
Tong He
Hang Zhang
R. Manmatha
Mu Li
Alex Smola
VLM
SSL
41
56
0
30 Apr 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
93
720
0
19 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
114
3,508
0
21 Jan 2020
An Adversarial Perturbation Oriented Domain Adaptation Approach for
  Semantic Segmentation
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang
Ruijia Xu
Ruiyu Li
Xiaojuan Qi
Xiaoyong Shen
Guanbin Li
Liang Lin
21
93
0
18 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
76
42,038
0
03 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
59
676
0
21 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
154
2,375
0
11 Nov 2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic
  Segmentation
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming Zhang
Jing Zhang
Wei Liu
Dacheng Tao
OOD
25
285
0
29 Oct 2019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised
  Learning
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Zhanghan Ke
Daoye Wang
Qiong Yan
Jimmy S. J. Ren
Rynson W. H. Lau
21
214
0
03 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
306
793
0
26 Aug 2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain
  Semantic Segmentation: A Non-Adversarial Approach
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
Qing Lian
Fengmao Lv
Lixin Duan
Boqing Gong
SSeg
46
226
0
26 Aug 2019
Semi-Supervised Semantic Segmentation with High- and Low-level
  Consistency
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
SSL
40
373
0
15 Aug 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
110
3,009
0
06 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
78
2,306
0
29 Apr 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
95
1,283
0
30 Nov 2018
Taking A Closer Look at Domain Shift: Category-level Adversaries for
  Semantics Consistent Domain Adaptation
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Yawei Luo
Liang Zheng
T. Guan
Junqing Yu
Yi Yang
OOD
39
718
0
25 Sep 2018
Pyramid Attention Network for Semantic Segmentation
Pyramid Attention Network for Semantic Segmentation
Hanchao Li
Pengfei Xiong
Jie An
Lingxue Wang
SSeg
52
841
0
25 May 2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong
S. Gong
Xiatian Zhu
29
326
0
28 Apr 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
89
1,535
0
28 Feb 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GAN
SSeg
90
549
0
22 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
66
13,005
0
07 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
95
2,985
0
08 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
212
9,687
0
25 Oct 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
121
8,425
0
17 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
123
5,774
0
14 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
98
2,724
0
13 Apr 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
290
1,275
0
06 Mar 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
53
1,682
0
27 Feb 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
169
4,001
0
14 Feb 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
187
11,941
0
04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
200
2,835
0
20 Nov 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
142
2,543
0
07 Oct 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
296
1,850
0
18 Aug 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
84
1,998
0
07 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
129
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
209
37,704
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
405
11,540
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
819
192,638
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
131
8,421
0
23 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
72
1,316
0
10 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
592
15,718
0
02 Nov 2015
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