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Generalizing to Unseen Domains: A Survey on Domain Generalization
v1v2v3v4v5v6v7 (latest)

Generalizing to Unseen Domains: A Survey on Domain Generalization

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
2 March 2021
Yongfeng Zhang
Cuiling Lan
Yu Xie
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
    OOD
ArXiv (abs)PDFHTML

Papers citing "Generalizing to Unseen Domains: A Survey on Domain Generalization"

50 / 637 papers shown
Resolution invariant deep operator network for PDEs with complex
  geometries
Resolution invariant deep operator network for PDEs with complex geometries
Jianguo Huang
Yue Qiu
235
1
0
01 Feb 2024
Producing Plankton Classifiers that are Robust to Dataset Shift
Producing Plankton Classifiers that are Robust to Dataset Shift
Cheng Chen
S. Kyathanahally
Marta Reyes
Stefanie Merkli
E. Merz
Emanuele Francazi
Marvin Hoege
F. Pomati
Carlo Albert
292
4
0
25 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Tongliang Liu
Lina Yao
Kun Zhang
247
6
0
18 Jan 2024
Structure-based out-of-distribution (OOD) materials property prediction:
  a benchmark study
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark studynpj Computational Materials (npj Comput. Mater.), 2024
Sadman Sadeed Omee
Nihang Fu
Rongzhi Dong
Ming Hu
Jianjun Hu
OOD
224
41
0
16 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
302
15
0
09 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning
Meta-forests: Domain generalization on random forests with meta-learningAsian Conference on Machine Learning (ACML), 2024
Yuyang Sun
Panagiotis Kosmas
183
1
0
09 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
285
17
0
05 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
460
1
0
28 Dec 2023
Mixture Data for Training Cannot Ensure Out-of-distribution
  Generalization
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang
Yuxiao Luo
Qizhou Wang
Haoang Chi
Xiaofeng Chen
Bo Han
Jinyan Li
OODD
298
0
0
25 Dec 2023
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent
  Trajectory Prediction
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
Tangwen Qian
Yile Chen
Gao Cong
Yongjun Xu
Fei Wang
180
11
0
22 Dec 2023
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal
  Approach
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal ApproachAAAI Conference on Artificial Intelligence (AAAI), 2023
Ziliang Chen
Yongsen Zheng
Zhao-Rong Lai
Quanlong Guan
Liang Lin
CML
227
4
0
15 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Jens Müller
Lars Kühmichel
Martin Rohbeck
Stefan T. Radev
Ullrich Kothe
OOD
279
0
0
15 Dec 2023
F1-EV Score: Measuring the Likelihood of Estimating a Good Decision
  Threshold for Semi-Supervised Anomaly Detection
F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Kevin Wilkinghoff
Keisuke Imoto
217
1
0
14 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in
  Bioacoustics
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
Jenny Hamer
Eleni Triantafillou
B. V. Merrienboer
Stefan Kahl
Holger Klinck
Tom Denton
Vincent Dumoulin
298
21
0
12 Dec 2023
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical SystemsInternational Conference on Learning Representations (ICLR), 2023
Matthieu Blanke
Marc Lelarge
AI4CE
327
8
0
01 Dec 2023
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with
  Multi-Resolution Feature Perturbation
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationComputer Vision and Pattern Recognition (CVPR), 2023
Sumanth Udupa
Prajwal Gurunath
Aniruddh Sikdar
Suresh Sundaram
297
18
0
30 Nov 2023
A Simple Recipe for Language-guided Domain Generalized Segmentation
A Simple Recipe for Language-guided Domain Generalized SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
270
29
0
29 Nov 2023
MetaDefa: Meta-learning based on Domain Enhancement and Feature
  Alignment for Single Domain Generalization
MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization
Can Sun
Hao Zheng
Zhigang Hu
Liu Yang
Meiguang Zheng
Bo Xu
237
0
0
27 Nov 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
452
1
0
26 Nov 2023
TEA: Test-time Energy Adaptation
TEA: Test-time Energy AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Yige Yuan
Bingbing Xu
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTAVLM
291
26
0
24 Nov 2023
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Robust Domain Misinformation Detection via Multi-modal Feature AlignmentIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Hui Liu
Wenya Wang
Hao Sun
Anderson de Rezende Rocha
Haoliang Li
196
27
0
24 Nov 2023
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color
  Perturbation and Dual-style Memory
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
Lei Qi
Peng Dong
Tan Xiong
Hui Xue
Xin Geng
229
6
0
22 Nov 2023
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
Yuan Zhang
Tao Huang
Jiaming Liu
Tao Jiang
Kuan Cheng
Shanghang Zhang
AAML
248
42
0
20 Nov 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
479
2
0
17 Nov 2023
Improving Generalization of Drowsiness State Classification by
  Domain-Specific Normalization
Improving Generalization of Drowsiness State Classification by Domain-Specific NormalizationBalkan Conference in Informatics (BCI), 2023
Dong-Young Kim
Dong-Kyun Han
Seo-Hyeon Park
Geun-Deok Jang
Seong-Whan Lee
237
0
0
15 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
MADG: Margin-based Adversarial Learning for Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Aveen Dayal
B. VimalK.
Linga Reddy Cenkeramaddi
C. K. Mohan
Abhinav Kumar
Vineeth N. Balasubramanian
OODAAML
301
76
0
14 Nov 2023
Domain Generalization by Learning from Privileged Medical Imaging
  Information
Domain Generalization by Learning from Privileged Medical Imaging InformationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Steven Korevaar
Ruwan Tennakoon
Ricky O'Brien
Dwarikanath Mahapatra
Alireza Bab-Hadiasha
OOD
109
1
0
10 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
Thomas A. Lasko
Eric V. Strobl
William W Stead
OOD
232
19
0
08 Nov 2023
FetMRQC: an open-source machine learning framework for multi-centric
  fetal brain MRI quality control
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control
Thomas Sanchez
Oscar Esteban
Yvan Gomez
A. Pron
Mériam Koob
...
Nadine Girard
Andras Jakab
E. Eixarch
G. Auzias
Meritxell Bach Cuadra
168
11
0
08 Nov 2023
Learning Class and Domain Augmentations for Single-Source Open-Domain
  Generalization
Learning Class and Domain Augmentations for Single-Source Open-Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Prathmesh Bele
Valay Bundele
Avigyan Bhattacharya
Ankit Jha
Gemma Roig
Biplab Banerjee
182
7
0
05 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain
  Generalization Algorithms
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
207
2
0
02 Nov 2023
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 SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ruxue Wen
Hangjie Yuan
Dong Ni
Wenbo Xiao
Yaoyao Wu
OOD
202
29
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 GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Hao Dong
Ismail Nejjar
Han Sun
Eleni Chatzi
Olga Fink
302
48
0
30 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and GuidelinesACM Computing Surveys (ACM Comput. Surv.), 2023
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
260
34
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
262
0
0
30 Oct 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imagingNeural Information Processing Systems (NeurIPS), 2023
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
184
14
0
30 Oct 2023
Adaptive Test-Time Personalization for Federated Learning
Adaptive Test-Time Personalization for Federated LearningNeural Information Processing Systems (NeurIPS), 2023
Wenxuan Bao
Tianxin Wei
Haohan Wang
Jingrui He
TTAOOD
232
32
0
28 Oct 2023
Optimization-Free Test-Time Adaptation for Cross-Person Activity
  Recognition
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2023
Shuoyuan Wang
Yongfeng Zhang
Huajun Xi
Bob Zhang
Lei Zhang
Jianguo Huang
TTA
351
21
0
28 Oct 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Diversifying Spatial-Temporal Perception for Video Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Kun-Yu Lin
Jia-Run Du
Yipeng Gao
Jiaming Zhou
Wei-Shi Zheng
232
22
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 modelsJournal of machine learning research (JMLR), 2023
Christoph Schultheiss
Peter Bühlmann
CML
477
3
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
BDLOOD
317
1
0
25 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger
  Segmentation Models
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2023
Lihe Yang
Xiaohan Li
Bingyi Kang
Yinghuan Shi
Hengshuang Zhao
203
71
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23 Oct 2023
Towards Subject Agnostic Affective Emotion Recognition
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Haiming Liu
Prayag Tiwari
133
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20 Oct 2023
ClusT3: Information Invariant Test-Time Training
ClusT3: Information Invariant Test-Time TrainingIEEE International Conference on Computer Vision (ICCV), 2023
G. A. V. Hakim
David Osowiechi
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
TTAOOD
252
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Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
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Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CEOODFedML
327
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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
267
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Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic
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Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
Xuewei Li
Yaqiao Zhu
Jie Gao
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Yuan Tian
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286
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Insightful analysis of historical sources at scales beyond human
  capabilities using unsupervised Machine Learning and XAI
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Jochen Büttner
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216
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A Sampling-Based Domain Generalization Study with Diffusion Generative Models
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
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Duo Xu
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Yan Yan
Olga Russakovsky
DiffM
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Deep Learning Predicts Biomarker Status and Discovers Related
  Histomorphology Characteristics for Low-Grade Glioma
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Yihang Liu
Yifeng Wang
Xiangyang Zhang
Yang Chen
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Shan Zeng
Hong Shen
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123
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