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Generalizing to Unseen Domains: A Survey on Domain Generalization

Generalizing to Unseen Domains: A Survey on Domain Generalization

2 March 2021
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
    OOD
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Papers citing "Generalizing to Unseen Domains: A Survey on Domain Generalization"

50 / 570 papers shown
Title
From Denoising Training to Test-Time Adaptation: Enhancing Domain
  Generalization for Medical Image Segmentation
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
Ruxue Wen
Hangjie Yuan
Dong Ni
Wenbo Xiao
Yaoyao Wu
OOD
14
12
0
31 Oct 2023
SimMMDG: A Simple and Effective Framework for Multi-modal Domain
  Generalization
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Hao Dong
Ismail Nejjar
Han Sun
Eleni Chatzi
Olga Fink
11
6
0
30 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
16
17
0
30 Oct 2023
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised
  Domain Generalization for Object Detection
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection
Ryosuke Furuta
Yoichi Sato
16
0
0
30 Oct 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
12
9
0
30 Oct 2023
Adaptive Test-Time Personalization for Federated Learning
Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao
Tianxin Wei
Haohan Wang
Jingrui He
TTA
OOD
10
12
0
28 Oct 2023
Optimization-Free Test-Time Adaptation for Cross-Person Activity
  Recognition
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
Shuoyuan Wang
Jindong Wang
Huajun Xi
Bob Zhang
Lei Zhang
Hongxin Wei
TTA
7
11
0
28 Oct 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Kun-Yu Lin
Jia-Run Du
Yipeng Gao
Jiaming Zhou
Wei-Shi Zheng
23
7
0
27 Oct 2023
Assessing the overall and partial causal well-specification of nonlinear
  additive noise models
Assessing the overall and partial causal well-specification of nonlinear additive noise models
Christoph Schultheiss
Peter Bühlmann
CML
11
1
0
25 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of
  Parameter Distributions
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
BDL
OOD
8
1
0
25 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger
  Segmentation Models
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Lihe Yang
Xiaogang Xu
Bingyi Kang
Yinghuan Shi
Hengshuang Zhao
11
45
0
23 Oct 2023
Towards Subject Agnostic Affective Emotion Recognition
Towards Subject Agnostic Affective Emotion Recognition
Amit Kumar Jaiswal
Haiming Liu
Prayag Tiwari
23
1
0
20 Oct 2023
ClusT3: Information Invariant Test-Time Training
ClusT3: Information Invariant Test-Time Training
G. A. V. Hakim
David Osowiechi
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
TTA
OOD
16
3
0
18 Oct 2023
IDEAL: Influence-Driven Selective Annotations Empower In-Context
  Learners in Large Language Models
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Shaokun Zhang
Xiaobo Xia
Zhaoqing Wang
Ling-Hao Chen
Jiale Liu
Qingyun Wu
Tongliang Liu
26
20
0
16 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CE
OOD
FedML
15
4
0
16 Oct 2023
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic
  Feature Co-Registration
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
Xuewei Li
Yaqiao Zhu
Jie Gao
X. Wei
Ruixuan Zhang
Yuan Tian
Mei Yu
19
0
0
13 Oct 2023
Discovery and Expansion of New Domains within Diffusion Models
Discovery and Expansion of New Domains within Diffusion Models
Ye Zhu
Yu Wu
Duo Xu
Zhiwei Deng
Yan Yan
Olga Russakovsky
DiffM
15
1
0
13 Oct 2023
Insightful analysis of historical sources at scales beyond human
  capabilities using unsupervised Machine Learning and XAI
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
Oliver Eberle
Jochen Büttner
Hassan el-Hajj
G. Montavon
Klaus-Robert Muller
Matteo Valleriani
17
1
0
13 Oct 2023
Deep Learning Predicts Biomarker Status and Discovers Related
  Histomorphology Characteristics for Low-Grade Glioma
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma
Zijie Fang
Yihang Liu
Yifeng Wang
Xiangyang Zhang
Yang Chen
...
Zhi Wang
Shan Zeng
Hong Shen
Jun Tan
Yongbing Zhang
13
2
0
11 Oct 2023
Unlock the Potential of Counterfactually-Augmented Data in
  Out-Of-Distribution Generalization
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
CML
15
4
0
10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
21
0
0
10 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category
  Shift
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
10
10
0
07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
12
2
0
07 Oct 2023
Mitigating the Influence of Domain Shift in Skin Lesion Classification:
  A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic
  Images
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
Sireesha Chamarthi
Katharina Fogelberg
Roman C. Maron
T. Brinker
Julia Niebling
OOD
16
0
0
05 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey
Domain Generalization for Medical Image Analysis: A Survey
Jee Seok Yoon
Kwanseok Oh
Yooseung Shin
Maciej A Mazurowski
Heung-Il Suk
LM&MA
OOD
25
4
0
05 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain
  Generalization
Towards Domain-Specific Features Disentanglement for Domain Generalization
Hao Chen
Qi Zhang
Zenan Huang
Haobo Wang
Jun Zhao
OOD
35
1
0
04 Oct 2023
Prompting-based Temporal Domain Generalization
Prompting-based Temporal Domain Generalization
Sepidehsadat Hosseini
Mengyao Zhai
Hossein Hajimirsadegh
Frederick Tung
AI4TS
AI4CE
OOD
15
0
0
03 Oct 2023
CODA: Temporal Domain Generalization via Concept Drift Simulator
CODA: Temporal Domain Generalization via Concept Drift Simulator
Chia-Yuan Chang
Yu-Neng Chuang
Zhimeng Jiang
Kwei-Herng Lai
Anxiao Jiang
Na Zou
OOD
13
4
0
02 Oct 2023
Discovering environments with XRM
Discovering environments with XRM
Mohammad Pezeshki
Diane Bouchacourt
Mark Ibrahim
Jimuyang Zhang
Pascal Vincent
David Lopez-Paz
14
18
0
28 Sep 2023
CoinRun: Solving Goal Misgeneralisation
CoinRun: Solving Goal Misgeneralisation
Stuart Armstrong
Alexandre Maranhao
Oliver Daniels-Koch
Ioannis Gkioulekas
Rebecca Gormann
LRM
17
0
0
28 Sep 2023
Diverse Target and Contribution Scheduling for Domain Generalization
Diverse Target and Contribution Scheduling for Domain Generalization
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
37
8
0
28 Sep 2023
Why do Angular Margin Losses work well for Semi-Supervised Anomalous
  Sound Detection?
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?
Kevin Wilkinghoff
Frank Kurth
AAML
UQCV
17
8
0
27 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
K. Jia
TTA
58
22
0
26 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson
  Head
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Q. Wang
Minh Nguyen
M. Sabuncu
CML
OOD
19
1
0
23 Sep 2023
Randomize to Generalize: Domain Randomization for Runway FOD Detection
Randomize to Generalize: Domain Randomization for Runway FOD Detection
Javaria Farooq
Nayyer Aafaq
Muhammad Ishaq Khan
Ammar Saleem
Muhammad Abubakar Siddique
12
1
0
23 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
16
17
0
22 Sep 2023
A Sentence Speaks a Thousand Images: Domain Generalization through
  Distilling CLIP with Language Guidance
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance
Zeyi Huang
Andy Zhou
Zijian Lin
Mu Cai
Haohan Wang
Yong Jae Lee
VLM
OOD
11
27
0
21 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational
  Autoencoders
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
6
5
0
20 Sep 2023
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation
  from Fractal-based Simulation
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation
Achref Jaziri
Martin Mundt
Andres Fernandez Rodriguez
Visvanathan Ramesh
17
2
0
18 Sep 2023
Multi-dimensional domain generalization with low-rank structures
Multi-dimensional domain generalization with low-rank structures
Sai Li
Linjun Zhang
17
2
0
18 Sep 2023
Adaptive Communications in Collaborative Perception with Domain
  Alignment for Autonomous Driving
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving
Senkang Hu
Zhengru Fang
Haonan An
Guowen Xu
Yuan Zhou
Xianhao Chen
Yuguang Fang
25
17
0
15 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things
  (IoT): Opportunities and Challenges
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou
Jin Ye
Geng Yuan
Qin Lu
Wei Niu
...
Hongyue Sun
Yunli Shao
Changying Li
Tianming Liu
Wenzhan Song
AI4CE
10
28
0
14 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning
  Rates
Exploring Flat Minima for Domain Generalization with Large Learning Rates
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
14
2
0
12 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Jiao Zhang
Xu-Yao Zhang
Cheng-Lin Liu
OOD
12
0
0
12 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
11
4
0
09 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Yuewei Lin
OOD
8
9
0
08 Sep 2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Jiajin Zhang
Hanqing Chao
Amit Dhurandhar
Pin-Yu Chen
A. Tajer
Yangyang Xu
Pingkun Yan
6
9
0
03 Sep 2023
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus
  Segmentation
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Shengcong Chen
Changxing Ding
Dacheng Tao
Hao Chen
25
1
0
01 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID
  Features
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
19
9
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
8
7
0
29 Aug 2023
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