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UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised
  Semantic Segmentation
v1v2 (latest)

UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation

20 May 2022
Jiashuo Fan
Bin-Bin Gao
Huan Jin
Lihui Jiang
ArXiv (abs)PDFHTML

Papers citing "UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation"

37 / 37 papers shown
Title
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
Dinh Dai Quan Tran
Hoang-Thien Nguyen. Thanh-Huy Nguyen
Thanh-Huy Nguyen
Gia-Van To
T. Nguyen
Quan Nguyen
276
0
0
14 Apr 2025
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving
Fuhao Li
Huan Jin
Bin-Bin Gao
Liaoyuan Fan
Lihui Jiang
Long Zeng
99
2
0
28 Mar 2025
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning
Qing Zhu
Qirong Mao
Jialin Zhang
Xiaohua Huang
Wenming Zheng
49
2
0
06 Oct 2023
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu
Fangyun Wei
Han Hu
Qiwei Ye
J. Cui
Liwei Wang
67
161
0
11 Oct 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-Xiong Wang
88
172
0
20 Aug 2021
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as
  Reference
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Peng Tu
Yawen Huang
Rongrong Ji
Feng Zheng
Ling Shao
50
7
0
29 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen
Yuhui Yuan
Gang Zeng
Jingdong Wang
98
786
0
02 Jun 2021
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
Z. Qu
Huan Jin
Yang Zhou
Zhen Yang
Wei Zhang
106
133
0
28 May 2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong
  Data Augmentation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan
Yifan Liu
Chunhua Shen
Zhibin Wang
Hao Li
45
112
0
15 Apr 2021
Bootstrapping Semantic Segmentation with Regional Contrast
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu
Shuaifeng Zhi
Edward Johns
Andrew J. Davison
ISeg
60
124
0
09 Apr 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
108
588
0
28 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
100
265
0
18 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
304
992
0
13 Dec 2020
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
60
252
0
12 Aug 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning
DMT: Dynamic Mutual Training for Semi-Supervised Learning
Zhengyang Feng
Qianyu Zhou
Qiqi Gu
Xin Tan
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
44
171
0
18 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
127
729
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
160
3,572
0
21 Jan 2020
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
63
447
0
04 Dec 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
315
2,392
0
11 Nov 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
45
215
0
03 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
393
3,627
0
20 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
76
377
0
15 Aug 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
70
70
0
20 May 2019
S4L: Self-Supervised Semi-Supervised Learning
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
SSLVLM
105
797
0
09 May 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
156
3,033
0
06 May 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
102
463
0
02 May 2019
Deep Co-Training for Semi-Supervised Image Segmentation
Deep Co-Training for Semi-Supervised Image Segmentation
Jizong Peng
Guillermo Estrada
M. Pedersoli
Christian Desrosiers
86
181
0
27 Mar 2019
Deep Co-Training for Semi-Supervised Image Recognition
Deep Co-Training for Semi-Supervised Image Recognition
Siyuan Qiao
Wei Shen
Zhishuai Zhang
Bo Wang
Alan Yuille
59
450
0
15 Mar 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
GANSSeg
125
553
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
480
13,178
0
07 Feb 2018
Data Distillation: Towards Omni-Supervised Learning
Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic
Piotr Dollár
Ross B. Girshick
Georgia Gkioxari
Kaiming He
84
419
0
12 Dec 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
118
3,059
0
19 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
232
8,488
0
17 Jun 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
187
2,567
0
07 Oct 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
267
18,267
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
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
1.1K
11,644
0
06 Apr 2016
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