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Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

8 March 2020
Zhedong Zheng
Yi Yang
    NoLa
ArXivPDFHTML

Papers citing "Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation"

50 / 78 papers shown
Title
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation
Binbin Wei
Yuhang Zhang
Shishun Tian
Muxin Liao
Wei Li
Wenbin Zou
MDE
36
0
0
11 May 2025
Multi-source Domain Adaptation for Panoramic Semantic Segmentation
Multi-source Domain Adaptation for Panoramic Semantic Segmentation
Jing Jiang
Sicheng Zhao
Jiankun Zhu
Wenbo Tang
Zhaopan Xu
Jidong Yang
Guoping Liu
Tengfei Xing
Pengfei Xu
H. Yao
37
4
0
08 Jan 2025
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Guiyu Zhang
Huan-ang Gao
Zijian Jiang
Hao Zhao
Zhedong Zheng
EGVM
46
6
0
15 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
42
2
0
01 Aug 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
42
1
0
26 May 2024
Constructing and Exploring Intermediate Domains in Mixed Domain
  Semi-supervised Medical Image Segmentation
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
46
7
0
13 Apr 2024
Inter- and intra-uncertainty based feature aggregation model for
  semi-supervised histopathology image segmentation
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin
Hui Cui
Changming Sun
Yang Song
Jiangbin Zheng
Leilei Cao
Leyi Wei
Ran Su
41
17
0
19 Mar 2024
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
70
12
0
19 Dec 2023
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
23
0
0
21 Nov 2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech
  Recognition
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
Hanjing Zhu
Dongji Gao
Gaofeng Cheng
Daniel Povey
Pengyuan Zhang
Yonghong Yan
NoLa
27
4
0
12 Aug 2023
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain
  Adaptive Semantic Segmentation
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation
Anant Khandelwal
24
1
0
10 Aug 2023
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised
  Medical Image Segmentation
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Yingyu Chen
Ziyuan Yang
Chenyu Shen
Zhiwen Wang
Yang Qin
Yi Zhang
EDL
UQCV
27
8
0
18 Jul 2023
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
Gabriel Tjio
Ping Liu
Yawei Luo
C. Kwoh
Joey Zhou Tianyi
VLM
27
0
0
03 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
46
10
0
02 Jul 2023
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework
  for Domain Adaptive Semantic Segmentation
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
Tianyu Li
Subhankar Roy
Huayi Zhou
Hongtao Lu
Stéphane Lathuilière
21
12
0
15 Jun 2023
Condition-Invariant Semantic Segmentation
Condition-Invariant Semantic Segmentation
Christos Sakaridis
David Brüggemann
F. I. F. Richard Yu
Luc Van Gool
49
4
0
27 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
23
12
0
25 May 2023
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic
  Segmentation
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
Fengyi Shen
A. Gurram
Ziyuan Liu
He Wang
Alois Knoll
24
26
0
05 Apr 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
15
11
0
16 Mar 2023
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based
  Weighting for Semantic Segmentation
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation
Shigemichi Matsuzaki
Hiroaki Masuzawa
Jun Miura
49
5
0
02 Mar 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
35
29
0
27 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
51
1
0
14 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
26
50
0
13 Feb 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised
  Medical Image Segmentation
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Hua Yang
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaiane
18
38
0
11 Jan 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for
  Visual Domain Generalization
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
27
29
0
18 Dec 2022
Union-set Multi-source Model Adaptation for Semantic Segmentation
Union-set Multi-source Model Adaptation for Semantic Segmentation
Zongyao Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
15
4
0
06 Dec 2022
Unsupervised Continual Semantic Adaptation through Neural Rendering
Unsupervised Continual Semantic Adaptation through Neural Rendering
Zhizheng Liu
Francesco Milano
Jonas Frey
Roland Siegwart
Hermann Blum
César Cadena
CLL
14
18
0
25 Nov 2022
Computational Imaging for Machine Perception: Transferring Semantic
  Segmentation beyond Aberrations
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang
Haowen Shi
Shaohua Gao
Jiaming Zhang
Kailun Yang
Lei Sun
Huajian Ni
Kaiwei Wang
26
5
0
21 Nov 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen
Zhedong Zheng
Yi Yang
Tat-Seng Chua
48
53
0
14 Nov 2022
Composed Image Retrieval with Text Feedback via Multi-grained
  Uncertainty Regularization
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen
Zhedong Zheng
Wei Ji
Leigang Qu
Tat-Seng Chua
24
37
0
14 Nov 2022
Photo-realistic Neural Domain Randomization
Photo-realistic Neural Domain Randomization
Sergey Zakharov
Rares Ambrus
Vitor Campagnolo Guizilini
Wadim Kehl
Adrien Gaidon
24
9
0
23 Oct 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
26
32
0
18 Oct 2022
IDPL: Intra-subdomain adaptation adversarial learning segmentation
  method based on Dynamic Pseudo Labels
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
Xuewei Li
Weilun Zhang
Jie Gao
Xuzhou Fu
Jian Yu
16
2
0
07 Oct 2022
Uncertainty Estimation for 3D Dense Prediction via Cross-Point
  Embeddings
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
Kaiwen Cai
Chris Xiaoxuan Lu
Xiaowei Huang
3DPC
29
2
0
29 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
42
29
0
15 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
14
4
0
30 Aug 2022
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of
  Semantic Segmentation
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
Wei Yan
Yeqiang Qian
Chunxiang Wang
Ming Yang
34
17
0
23 Aug 2022
Domain-invariant Prototypes for Semantic Segmentation
Domain-invariant Prototypes for Semantic Segmentation
Zhengeng Yang
Hongshan Yu
Wei Sun
Li Cheng
Ajmal Saeed Mian
36
2
0
12 Aug 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision
  Transformers for Panoramic Semantic Segmentation
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Jiaming Zhang
Kailun Yang
Haowen Shi
Simon Reiß
Kunyu Peng
Chaoxiang Ma
Haodong Fu
Philip H. S. Torr
Kaiwei Wang
Rainer Stiefelhagen
ViT
MDE
31
35
0
25 Jul 2022
Class-incremental Novel Class Discovery
Class-incremental Novel Class Discovery
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
28
43
0
18 Jul 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image
  Segmentation
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Yuan Yao
Fengze Liu
Zongwei Zhou
Yan Wang
Wei Shen
Alan L. Yuille
Yongyi Lu
OOD
16
9
0
06 Jul 2022
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Zhijie Wang
Masanori Suganuma
Takayuki Okatani
OOD
19
2
0
30 Jun 2022
Censor-aware Semi-supervised Learning for Survival Time Prediction from
  Medical Images
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images
Renato Hermoza
Gabriel Maicas
Jacinto C. Nascimento
G. Carneiro
20
6
0
26 May 2022
Boosting Video Object Segmentation based on Scale Inconsistency
Boosting Video Object Segmentation based on Scale Inconsistency
Hengyi Wang
Changjae Oh
VOS
24
0
0
02 May 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip H. S. Torr
René Ranftl
Stephan R. Richter
15
6
0
18 Apr 2022
Task-specific Inconsistency Alignment for Domain Adaptive Object
  Detection
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
Liang Zhao
Limin Wang
25
74
0
29 Mar 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
Xiaoqing Guo
Jie Liu
Tongliang Liu
Yiyuan Yuan
25
27
0
29 Mar 2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal
  Action Localization
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Bo He
Xitong Yang
Le Kang
Zhiyu Cheng
Xingfa Zhou
Abhinav Shrivastava
28
77
0
29 Mar 2022
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic
  Segmentation
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
Runfa Chen
Yu Rong
Shangmin Guo
Jiaqi Han
Fuchun Sun
Tingyang Xu
Wenbing Huang
ViT
15
20
0
15 Mar 2022
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive
  Semantic Segmentation
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
Seunghun Lee
Wonhyeok Choi
Changjae Kim
Minwoo Choi
Sunghoon Im
25
19
0
14 Mar 2022
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