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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
ArXivPDFHTML

Papers citing "Deeper, Broader and Artier Domain Generalization"

50 / 901 papers shown
Title
Prompt-driven Latent Domain Generalization for Medical Image
  Classification
Prompt-driven Latent Domain Generalization for Medical Image Classification
Siyuan Yan
Chi Liu
Zhen Yu
Lie Ju
Dwarikanath Mahapatra
B. Betz‐Stablein
Victoria Mar
Monika Janda
Peter Soyer
Zongyuan Ge
OOD
VLM
MedIm
35
7
0
05 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
68
8
0
05 Jan 2024
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
30
0
0
25 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift
Revisiting Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
29
1
0
25 Dec 2023
Merging Vision Transformers from Different Tasks and Domains
Merging Vision Transformers from Different Tasks and Domains
Peng Ye
Chenyu Huang
Mingzhu Shen
Tao Chen
Yongqi Huang
Yuning Zhang
Wanli Ouyang
MoMe
22
11
0
25 Dec 2023
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object
  Detection and Domain Generalization
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization
L. Saad Saoud
Lakmal D. Seneviratne
Irfan Hussain
16
0
0
23 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
35
15
0
20 Dec 2023
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
Yu Zhang
Rongjie Huang
Ruiqi Li
Jinzheng He
Yan Xia
Feiyang Chen
Xinyu Duan
Baoxing Huai
Zhou Zhao
VLM
23
17
0
17 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
40
0
0
15 Dec 2023
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for
  Underwater Environments
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
L. Saad Saoud
Zhenwei Niu
Atif Sultan
Lakmal D. Seneviratne
Irfan Hussain
29
2
0
11 Dec 2023
Invariant Representation via Decoupling Style and Spurious Features from
  Images
Invariant Representation via Decoupling Style and Spurious Features from Images
Ruimeng Li
Yuanhao Pu
Zhaoyi Li
Hong Xie
Defu Lian
OOD
20
1
0
11 Dec 2023
Singular Value Penalization and Semantic Data Augmentation for Fully
  Test-Time Adaptation
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation
Houcheng Su
Daixian Liu
Mengzhu Wang
Wei Wang
TTA
19
1
0
10 Dec 2023
Subject-Based Domain Adaptation for Facial Expression Recognition
Subject-Based Domain Adaptation for Facial Expression Recognition
Muhammad Osama Zeeshan
Haseeb Aslam
Soufiane Belharbi
A. L. Koerich
M. Pedersoli
Simon L Bacon
Eric Granger
27
3
0
09 Dec 2023
Cross Domain Generative Augmentation: Domain Generalization with Latent
  Diffusion Models
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models
S. Hemati
Mahdi Beitollahi
A. Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
19
6
0
08 Dec 2023
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
16
0
0
08 Dec 2023
SEVA: Leveraging sketches to evaluate alignment between human and
  machine visual abstraction
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Kushin Mukherjee
Holly Huey
Xuanchen Lu
Yael Vinker
Rio Aguina-Kang
Ariel Shamir
Judith E. Fan
27
11
0
05 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OOD
FedML
32
1
0
04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular
  Regression
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
Sergey Kolesnikov
CML
OOD
17
4
0
04 Dec 2023
Nonparametric Variational Regularisation of Pretrained Transformers
Nonparametric Variational Regularisation of Pretrained Transformers
Fabio Fehr
James Henderson
43
0
0
01 Dec 2023
Each Test Image Deserves A Specific Prompt: Continual Test-Time
  Adaptation for 2D Medical Image Segmentation
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
Ziyang Chen
Yongsheng Pan
Yiwen Ye
Mengkang Lu
Yong-quan Xia
OOD
VLM
MedIm
35
5
0
30 Nov 2023
Rescuing referral failures during automated diagnosis of domain-shifted
  medical images
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava
Karm Patel
Pradeep Shenoy
D. Sridharan
OOD
26
0
0
28 Nov 2023
HD Maps are Lane Detection Generalizers: A Novel Generative Framework
  for Single-Source Domain Generalization
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization
Daeun Lee
Minhyeok Heo
Jiwon Kim
27
0
0
28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
CLIP
VLM
31
5
0
28 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
31
0
0
26 Nov 2023
TEA: Test-time Energy Adaptation
TEA: Test-time Energy Adaptation
Yige Yuan
Bingbing Xu
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
VLM
31
8
0
24 Nov 2023
Parameter Exchange for Robust Dynamic Domain Generalization
Parameter Exchange for Robust Dynamic Domain Generalization
Luojun Lin
Zhifeng Shen
Zhishu Sun
Yuanlong Yu
Lei Zhang
Weijie Chen
OOD
28
6
0
23 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring
  the Web
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web
Ameya Prabhu
Hasan Hammoud
Ser-Nam Lim
Guohao Li
Philip H. S. Torr
Adel Bibi
CLL
127
9
0
19 Nov 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
34
0
0
17 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
MADG: Margin-based Adversarial Learning for Domain Generalization
Aveen Dayal
B. VimalK.
Linga Reddy Cenkeramaddi
C. K. Mohan
Abhinav Kumar
Vineeth N. Balasubramanian
OOD
AAML
26
63
0
14 Nov 2023
Improving the Effectiveness of Deep Generative Data
Improving the Effectiveness of Deep Generative Data
Ruyu Wang
Sabrina Schmedding
Marco F. Huber
DiffM
35
3
0
07 Nov 2023
Learning Class and Domain Augmentations for Single-Source Open-Domain
  Generalization
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Prathmesh Bele
Valay Bundele
Avigyan Bhattacharya
Ankit Jha
Gemma Roig
Biplab Banerjee
13
5
0
05 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain
  Generalization
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Jun-Gyu Park
Dong-Jun Han
Jinho Kim
Shiqiang Wang
Christopher G. Brinton
Jaekyun Moon
OOD
FedML
37
15
0
01 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
81
62
0
30 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
29
18
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
28
14
0
28 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image
  Classifier Robustness
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
S. Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAML
DiffM
48
3
0
28 Oct 2023
Domain Generalisation via Risk Distribution Matching
Domain Generalisation via Risk Distribution Matching
Toan Nguyen
Kien Do
Bao Duong
T. Nguyen
OOD
36
3
0
28 Oct 2023
Understanding Parameter Saliency via Extreme Value Theory
Understanding Parameter Saliency via Extreme Value Theory
Shuo Wang
Issei Sato
AAML
FAtt
19
0
0
27 Oct 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Chamuditha Jayanga Galappaththige
Gayal Kuruppu
Muhammad Haris Khan
OOD
21
7
0
26 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by
  Exploring Variant Parameters for Out-of-Distribution Generalization
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
46
8
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
29
1
0
25 Oct 2023
Handling Data Heterogeneity via Architectural Design for Federated
  Visual Recognition
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Sara Pieri
Jose Renato Restom
Samuel Horvath
Hisham Cholakkal
FedML
21
8
0
23 Oct 2023
Domain Generalization Using Large Pretrained Models with
  Mixture-of-Adapters
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
Gyuseong Lee
Wooseok Jang
Jin Hyeon Kim
Jaewoo Jung
Seungryong Kim
MoE
OOD
30
2
0
17 Oct 2023
Unlocking Emergent Modularity in Large Language Models
Unlocking Emergent Modularity in Large Language Models
Zihan Qiu
Zeyu Huang
Jie Fu
25
8
0
17 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
33
4
0
16 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
34
1
0
13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling
  Vision-Language Models
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
Vishaal Udandarao
Max F. Burg
Samuel Albanie
Matthias Bethge
VLM
34
9
0
12 Oct 2023
Leveraging Vision-Language Models for Improving Domain Generalization in
  Image Classification
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
Sravanti Addepalli
Ashish Ramayee Asokan
Lakshay Sharma
R. V. Babu
VLM
24
15
0
12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of
  Parameters
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
24
2
0
11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
Domain Generalization by Rejecting Extreme Augmentations
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
45
3
0
10 Oct 2023
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