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Deeper, Broader and Artier Domain Generalization

Deeper, Broader and Artier Domain Generalization

9 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
    OOD
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Papers citing "Deeper, Broader and Artier Domain Generalization"

50 / 901 papers shown
Title
FRET: Feature Redundancy Elimination for Test Time Adaptation
FRET: Feature Redundancy Elimination for Test Time Adaptation
Linjing You
Jiabao Lu
Xiayuan Huang
Xiangli Nie
14
0
0
15 May 2025
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
Kun Wang
Bo Li
33
0
0
12 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
Hao Li
Zesheng Zhou
Zhenbiao Cao
X. Li
Wei Chen
Xiaotian Zhang
FedML
44
0
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Incentivizing Inclusive Contributions in Model Sharing Markets
Enpei Zhang
Jingyi Chai
Rui Ye
Yanfeng Wang
Siheng Chen
TDI
FedML
144
0
0
05 May 2025
Test-time Correlation Alignment
Test-time Correlation Alignment
Linjing You
Jiabao Lu
Xiayuan Huang
OOD
75
0
0
01 May 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Shuai Gong
C. Cui
Xiaolin Dong
Xiushan Nie
Lei Zhu
Xiaojun Chang
FedML
MoE
59
0
0
29 Apr 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
Jieming Bian
Yuanzhe Peng
Lei Wang
Yin Huang
Jie Xu
FedML
65
0
0
29 Apr 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Mert Sonmezer
Seyda Ertekin
AI4TS
26
0
0
24 Apr 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Yongqian Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
41
0
0
19 Apr 2025
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data
Prasanna Reddy Pulakurthi
Majid Rabbani
Celso M. De Melo
S. Dianat
Raghuveer Rao
31
0
0
17 Apr 2025
Vision and Language Integration for Domain Generalization
Vision and Language Integration for Domain Generalization
Yanmei Wang
Xiyao Liu
Fupeng Chu
Zhi Han
VLM
44
0
0
17 Apr 2025
BoTTA: Benchmarking on-device Test Time Adaptation
BoTTA: Benchmarking on-device Test Time Adaptation
Michal Danilowski
Soumyajit Chatterjee
Abhirup Ghosh
TTA
72
0
0
14 Apr 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
Jiansheng Li
Xingxuan Zhang
Hao Zou
Yige Guo
Renzhe Xu
Yilong Liu
Chuzhao Zhu
Yue He
Peng Cui
VLM
39
0
0
14 Apr 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi
Jingjun Yi
Hao Zheng
Haolan Zhan
Wei Ji
Yawen Huang
Yuexiang Li
OOD
39
1
0
10 Apr 2025
FedMerge: Federated Personalization via Model Merging
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
MoMe
49
0
0
09 Apr 2025
Domain Generalization via Discrete Codebook Learning
Domain Generalization via Discrete Codebook Learning
Shaocong Long
Qianyu Zhou
Xikun Jiang
Chenhao Ying
Lizhuang Ma
Yuan Luo
41
0
0
09 Apr 2025
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Shahryar Zehtabi
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
AI4CE
50
0
0
08 Apr 2025
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
Sohyun Lee
N. Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
89
0
0
07 Apr 2025
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
Hamza Riaz
Alan F. Smeaton
ViT
30
0
0
05 Apr 2025
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Hamza Riaz
Alan F. Smeaton
41
0
0
05 Apr 2025
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Haishan Wang
Mohammad Hassan Vali
Arno Solin
3DGS
59
0
0
03 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
OOD
38
0
0
03 Apr 2025
Generative Classifier for Domain Generalization
Generative Classifier for Domain Generalization
Shaocong Long
Qianyu Zhou
Xiaomeng Li
Chenhao Ying
Yunhai Tong
Lizhuang Ma
Yuan Luo
Dacheng Tao
41
0
0
03 Apr 2025
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
Youngjun Song
Youngsik Hwang
Jonghun Lee
Heechang Lee
Dong-Young Lim
AAML
49
0
0
30 Mar 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
Erik Wallin
Fredrik Kahl
Lars Hammarstrand
OODD
52
0
0
27 Mar 2025
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels
Venuri Amarasinghe
Asini Jayakody
Isun Randila
Kalinga Bandara
Chamuditha Jayanga Galappaththige
Ranga Rodrigo
48
0
0
26 Mar 2025
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara Al-Emadi
Yin Yang
Ferda Ofli
39
0
0
24 Mar 2025
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
Zequn Zeng
Yudi Su
Jianqiao Sun
Tiansheng Wen
Hao Zhang
Zhengjue Wang
Bo Chen
Hongwei Liu
Jiawei Ma
VLM
60
0
0
24 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
56
0
0
23 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
131
0
0
21 Mar 2025
Casual Inference via Style Bias Deconfounding for Domain Generalization
Casual Inference via Style Bias Deconfounding for Domain Generalization
Jiaxi Li
Di Lin
Hao Chen
Hongying Liu
Liang Wan
Wei Feng
OOD
CML
AI4CE
50
0
0
21 Mar 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
M. Cui
Divyam Gupta
Mainak Singha
Sai Bhargav Rongali
Ankit Jha
Muhammad Haris Khan
Biplab Banerjee
VLM
53
1
0
20 Mar 2025
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
76
1
0
19 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
101
0
0
18 Mar 2025
Federated Learning with Domain Shift Eraser
Federated Learning with Domain Shift Eraser
Zehua Wang
Zihui Wang
Zhilin Wang
Xiaoliang Fan
Cheng-Yu Wang
FedML
57
0
0
17 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan
Yucan Zhou
Xiaoyan Gu
FedML
63
0
0
10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
92
0
0
09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
102
0
0
09 Mar 2025
Single Domain Generalization with Adversarial Memory
Hao Yan
Marzi Heidari
Yuhong Guo
100
0
0
08 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
44
0
0
28 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
174
0
0
27 Feb 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
75
1
0
27 Feb 2025
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup
Marzi Heidari
Yuhong Guo
39
0
0
22 Feb 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Yeheng Ge
Xueyu Zhou
Jian Huang
38
0
0
22 Feb 2025
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
Zexi Jia
Chuanwei Huang
Hongyan Fei
Yeshuang Zhu
Zhiqiang Yuan
Jinchao Zhang
Jie Zhou
DiffM
VLM
74
0
0
17 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
65
0
0
15 Feb 2025
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
Xiliang Yang
Shenyang Deng
Shicong Liu
Yuanchi Suo
Wing.W.Y NG
Jianjun Zhang
40
0
0
15 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
Mingming Gong
166
1
0
05 Feb 2025
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
Sunny Gupta
Vinay Sutar
Varunav Singh
Amit Sethi
43
0
0
28 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Yunhong Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
83
3
0
17 Jan 2025
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