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Test-Time Training for Semantic Segmentation with Output Contrastive
  Loss

Test-Time Training for Semantic Segmentation with Output Contrastive Loss

14 November 2023
Yunlong Zhang
Yuxuan Sun
Sunyi Zheng
Zhongyi Shui
Chenglu Zhu
Lin Yang
    VLM
ArXivPDFHTML

Papers citing "Test-Time Training for Semantic Segmentation with Output Contrastive Loss"

50 / 58 papers shown
Title
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Qi Fan
Kaiqi Liu
Nian Liu
Hisham Cholakkal
Rao Muhammad Anwer
Wenbin Li
Yang Gao
154
0
0
30 Apr 2025
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild World
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Mingkui Tan
TTA
67
268
0
24 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim
Byeonggeun Kim
Jaegul Choo
Sungha Choi
TTA
52
88
0
10 Feb 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
A Probabilistic Framework for Lifelong Test-Time Adaptation
Dhanajit Brahma
Piyush Rai
TTA
54
36
0
19 Dec 2022
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Lukas Hoyer
Dengxin Dai
Haoran Wang
Luc Van Gool
102
226
0
02 Dec 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Mario Döbler
Robert A. Marsden
Bin Yang
OOD
TTA
54
90
0
23 Nov 2022
Visual Prompt Tuning for Test-time Domain Adaptation
Visual Prompt Tuning for Test-time Domain Adaptation
Yunhe Gao
Xingjian Shi
Yi Zhu
Hongya Wang
Zhiqiang Tang
Xiong Zhou
Mu Li
Dimitris N. Metaxas
VPVLM
VLM
115
86
0
10 Oct 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
74
170
0
15 Sep 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTA
OOD
55
65
0
24 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
73
62
0
08 Jul 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
62
139
0
09 May 2022
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
Inkyu Shin
Yi-Hsuan Tsai
Bingbing Zhuang
S. Schulter
Buyu Liu
Sparsh Garg
In So Kweon
Kuk-Jin Yoon
TTA
55
78
0
27 Apr 2022
Contrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
Dian Chen
Dequan Wang
Trevor Darrell
Sayna Ebrahimi
TTA
51
264
0
21 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
71
340
0
06 Apr 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
101
419
0
25 Mar 2022
Parameter-free Online Test-time Adaptation
Parameter-free Online Test-time Adaptation
Malik Boudiaf
Romain Mueller
Ismail Ben Ayed
Luca Bertinetto
TTA
46
149
0
15 Jan 2022
DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer
Dengxin Dai
Luc Van Gool
AI4CE
90
458
0
29 Nov 2021
MEMO: Test Time Robustness via Adaptation and Augmentation
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OOD
TTA
91
319
0
18 Oct 2021
On-target Adaptation
On-target Adaptation
Dequan Wang
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
46
19
0
02 Sep 2021
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Amit Singh
Varun Jampani
R. Venkatesh Babu
TTA
58
123
0
25 Aug 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
63
172
0
20 Aug 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic
  Long-Tailed Recognition
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Yifan Zhang
Bryan Hooi
Lanqing Hong
Jiashi Feng
74
129
0
20 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
246
4,990
0
31 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
182
1,460
0
12 May 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
43
252
0
30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
60
82
0
30 Mar 2021
Contrastive Domain Adaptation
Contrastive Domain Adaptation
Mamatha Thota
Georgios Leontidis
SSL
52
59
0
26 Mar 2021
Self-Tuning for Data-Efficient Deep Learning
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
59
71
0
25 Feb 2021
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
97
685
0
15 Dec 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling
DACS: Domain Adaptation via Cross-domain Mixed Sampling
Wilhelm Tranheden
Viktor Olsson
Juliano Pinto
Lennart Svensson
79
358
0
17 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
88
479
0
30 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
122
407
0
13 Jun 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
140
1,826
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
141
4,532
0
23 Apr 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
81
895
0
11 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
333
18,721
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
173
12,065
0
13 Nov 2019
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Minghao Chen
Hongyang Xue
Deng Cai
80
288
0
30 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
340
795
0
26 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
140
3,022
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
124
2,314
0
29 Apr 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
102
834
0
04 Jan 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
123
1,291
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
63
718
0
25 Sep 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
292
10,253
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,450
0
05 May 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical
  Image Segmentations with Adversarial Loss
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Qi Dou
Cheng Ouyang
Cheng Chen
Hao Chen
Pheng-Ann Heng
MedIm
62
296
0
29 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
135
1,543
0
28 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
136
3,001
0
08 Nov 2017
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang
P. David
Boqing Gong
SSeg
78
321
0
29 Jul 2017
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