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Domain Generalization: A Survey

Domain Generalization: A Survey

3 March 2021
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
    OOD
    AI4CE
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Papers citing "Domain Generalization: A Survey"

50 / 525 papers shown
Title
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
23
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
27
10
0
08 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
39
6
0
07 Sep 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and
  Challenges
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare
P. Kebria
Abbas Khosravi
Saeid Nahavandi
18
81
0
05 Sep 2023
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
Andrew Du
Anh-Dzung Doan
Yee Wei Law
Tat-Jun Chin
22
2
0
05 Sep 2023
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent
  Pseudo-Modalities
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities
Dewei Hu
Hao Li
Han Liu
Xing Yao
Jiacheng Wang
I. Oguz
MedIm
6
4
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
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang
Jiahuan Qiao
Jianru Xue
Zhengguo Li
15
25
0
30 Aug 2023
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
33
0
0
29 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain
  Generalization
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
19
6
0
28 Aug 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
B. Xi
Kevin Scaria
Paulo Shakarian
Paulo Shakarian
32
2
0
28 Aug 2023
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking
  Neural Networks
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yiting Dong
Yang Li
Feifei Zhao
Yi Zeng
AI4CE
18
0
0
23 Aug 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng R. Li
FaML
AI4TS
33
2
0
23 Aug 2023
Unsupervised Prototype Adapter for Vision-Language Models
Unsupervised Prototype Adapter for Vision-Language Models
Yi Zhang
Ce Zhang
Xue-mei Hu
Z. He
VLM
19
4
0
22 Aug 2023
Diversity Measures: Domain-Independent Proxies for Failure in Language
  Model Queries
Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
Noel Ngu
Nathaniel Lee
Paulo Shakarian
16
4
0
22 Aug 2023
Towards Generalizable Morph Attack Detection with Consistency
  Regularization
Towards Generalizable Morph Attack Detection with Consistency Regularization
Hossein Kashiani
Niloufar Alipour Talemi
Mohammad Saeed Ebrahimi Saadabadi
Nasser M. Nasrabadi
AAML
11
2
0
20 Aug 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
  Generalization
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
OOD
32
21
0
20 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A
  Comprehensive Survey
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
X. Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
41
46
0
18 Aug 2023
Neural oscillators for generalization of physics-informed machine
  learning
Neural oscillators for generalization of physics-informed machine learning
Taniya Kapoor
Abhishek Chandra
D. Tartakovsky
Hongrui Wang
Alfredo Núñez
R. Dollevoet
AI4CE
19
11
0
17 Aug 2023
Learning to Identify Critical States for Reinforcement Learning from
  Videos
Learning to Identify Critical States for Reinforcement Learning from Videos
Haozhe Liu
Mingchen Zhuge
Bing Li
Yu‐Han Wang
Francesco Faccio
Bernard Ghanem
Jürgen Schmidhuber
OffRL
15
6
0
15 Aug 2023
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
Youssef Dawoud
G. Carneiro
Vasileios Belagiannis
29
0
0
09 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural
  Approach for Enhancing Interpretability, Generalization, and Robustness
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Shide Du
Zihan Fang
Shiyang Lan
Yanchao Tan
Manuel Günther
Shiping Wang
Wenzhong Guo
20
3
0
07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
20
15
0
04 Aug 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain
  Multi-Center Breast Cancer Screening
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Yijun Yang
Shujun Wang
Lihao Liu
S. Hickman
F. Gilbert
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
19
5
0
02 Aug 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Cross-Modal Concept Learning and Inference for Vision-Language Models
Yi Zhang
Ce Zhang
Yushun Tang
Z. He
VLM
MLLM
CLIP
25
15
0
28 Jul 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain
  Generalization
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Junhyeong Cho
Gilhyun Nam
Sungyeon Kim
Hunmin Yang
Suha Kwak
VLM
OOD
TTA
19
48
0
27 Jul 2023
Phase Matching for Out-of-Distribution Generalization
Phase Matching for Out-of-Distribution Generalization
Chengming Hu
Ye Du
Rui Wang
Hao Chen
OOD
26
0
0
24 Jul 2023
Towards Generalising Neural Topical Representations
Towards Generalising Neural Topical Representations
Xiaohao Yang
He Zhao
Dinh Q. Phung
Lan Du
BDL
OOD
MedIm
19
1
0
24 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Rongqing Li
Jiaqi Yu
Changsheng Li
Wenhan Luo
Ye Yuan
Guoren Wang
MLAU
16
0
0
20 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
37
29
0
18 Jul 2023
Frequency-mixed Single-source Domain Generalization for Medical Image
  Segmentation
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
Heng Li
Haojin Li
Wei-Ye Zhao
H. Fu
Xiuyun Su
Yan Hu
Jiang-Dong Liu
3DGS
20
19
0
18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
89
1
0
17 Jul 2023
Single Domain Generalization via Normalised Cross-correlation Based
  Convolutions
Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Weiqin Chuah
Ruwan Tennakoon
R. Hoseinnezhad
David Suter
A. Bab-Hadiashar
OOD
26
3
0
12 Jul 2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature
  Representation
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Hao Wang
Jiatai Lin
Dan Li
Jing Wang
Bingchao Zhao
...
C. Liang
Guoqiang Han
Li Liang
Chu Han
Zaiyi Liu
25
0
0
12 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
57
0
11 Jul 2023
CILF:Causality Inspired Learning Framework for Out-of-Distribution
  Vehicle Trajectory Prediction
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction
Shen Li
Qifan Xue
Yezhuo Zhang
Xuanpeng Li
OOD
CML
OODD
19
2
0
11 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
30
1
0
08 Jul 2023
Large Language Models for Supply Chain Optimization
Large Language Models for Supply Chain Optimization
Beibin Li
Konstantina Mellou
Bo-qing Zhang
Jeevan Pathuri
Ishai Menache
18
43
0
08 Jul 2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain
  Generalized Object Detection
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
Zhijie Rao
Jingcai Guo
Luyao Tang
Yue Huang
Xinghao Ding
Song Guo
21
16
0
04 Jul 2023
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via
  Shape-Aware Representation
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation
Dewei Hu
Hao Li
Han Liu
Xing Yao
Jiacheng Wang
I. Oguz
MedIm
27
0
0
01 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Xinyi Liu
Jinlong Li
Jin Ma
Huiming Sun
Zhigang Xu
Tianyu Zhang
Hongkai Yu
48
22
0
26 Jun 2023
Evading Forensic Classifiers with Attribute-Conditioned Adversarial
  Faces
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad
K. Srivatsan
Karthik Nandakumar
AAML
CVBM
24
6
0
22 Jun 2023
Generalizable Metric Network for Cross-domain Person Re-identification
Generalizable Metric Network for Cross-domain Person Re-identification
Lei Qi
Ziang Liu
Yinghuan Shi
Xin Geng
OOD
19
3
0
21 Jun 2023
Experts' cognition-driven ensemble deep learning for external validation
  of predicting pathological complete response to neoadjuvant chemotherapy from
  histological images in breast cancer
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Yongquan Yang
Fengling Li
Yani Wei
Yuanyuan Zhao
Jing Fu
Xiuli Xiao
Hong Bu
28
3
0
19 Jun 2023
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical
  Data
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Daniel Kreuter
Samuel Tull
J. Gilbey
J. Preller
BloodCounts Consortium
...
James H. F. Rudd
S. Sivapalaratnam
Carola-Bibiane Schönlieb
Nicholas S. Gleadall
M. Roberts
OOD
DRL
22
0
0
15 Jun 2023
Modularity Trumps Invariance for Compositional Robustness
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
19
1
0
15 Jun 2023
Revisiting Stereo Triangulation in UAV Distance Estimation
Revisiting Stereo Triangulation in UAV Distance Estimation
Jiafan Zhuang
Duan Yuan
Rihong Yan
Weixin Huang
Yutao Zhou
Zhun Fan
32
0
0
15 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A Survey
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedML
OOD
29
112
0
09 Jun 2023
Devil is in Channels: Contrastive Single Domain Generalization for
  Medical Image Segmentation
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
Shishuai Hu
Zehui Liao
Yong-quan Xia
MedIm
29
28
0
08 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient
  Representations for Fine-Grained Visual Categorization
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
Shuo Ye
Shujian Yu
W. Hou
Yu Wang
Xinge You
OOD
16
10
0
08 Jun 2023
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