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Domain Generalization via Model-Agnostic Learning of Semantic Features

Domain Generalization via Model-Agnostic Learning of Semantic Features

29 October 2019
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
    OOD
ArXivPDFHTML

Papers citing "Domain Generalization via Model-Agnostic Learning of Semantic Features"

50 / 412 papers shown
Title
Style Mixing and Patchwise Prototypical Matching for One-Shot
  Unsupervised Domain Adaptive Semantic Segmentation
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
Xinyi Wu
Zhenyao Wu
Yuhang Lu
Lili Ju
Song Wang
37
23
0
09 Dec 2021
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for
  Domain Generalization
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
OOD
AI4CE
39
5
0
07 Dec 2021
On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OOD
AI4CE
29
19
0
27 Nov 2021
Confounder Identification-free Causal Visual Feature Learning
Confounder Identification-free Causal Visual Feature Learning
Xin Li
Zhizheng Zhang
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
CML
OOD
28
14
0
26 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
X. Zhang
S. Gu
Yutaka Matsuo
Yusuke Iwasawa
VLM
41
37
0
25 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image
  Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
Chia-Ju Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
30
155
0
24 Nov 2021
DAPPER: Label-Free Performance Estimation after Personalization for
  Heterogeneous Mobile Sensing
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing
Taesik Gong
Yewon Kim
Adiba Orzikulova
Yunxin Liu
Sung Ju Hwang
Jinwoo Shin
Sung-Ju Lee
22
8
0
22 Nov 2021
Domain Generalization for Mammography Detection via Multi-style and
  Multi-view Contrastive Learning
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Zheren Li
Zhiming Cui
Sheng Wang
Yuji Qi
Xi Ouyang
Qitian Chen
Yuezhi Yang
Zhong Xue
D. Shen
Jie-Zhi Cheng
OOD
MedIm
30
39
0
21 Nov 2021
Three approaches to facilitate DNN generalization to objects in
  out-of-distribution orientations and illuminations
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations
Akira Sakai
Taro Sunagawa
Spandan Madan
Kanata Suzuki
Takashi Katoh
Hiromichi Kobashi
Hanspeter Pfister
Pawan Sinha
Xavier Boix
Tomotake Sasaki
19
2
0
30 Oct 2021
Domain Generalization through Audio-Visual Relative Norm Alignment in
  First Person Action Recognition
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
M. Planamente
Chiara Plizzari
Emanuele Alberti
Barbara Caputo
EgoV
22
33
0
19 Oct 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for
  Optimization in Pareto Set
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Mao Ye
Qiang Liu
21
9
0
17 Oct 2021
Invariant Language Modeling
Invariant Language Modeling
Maxime Peyrard
Sarvjeet Ghotra
Martin Josifoski
Vidhan Agarwal
Barun Patra
Dean Carignan
Emre Kıcıman
Robert West
29
13
0
16 Oct 2021
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
J. Wolleb
Robin Sandkühler
Florentin Bieder
M. Barakovic
N. Hadjikhani
A. Papadopoulou
Ozgur Yaldizli
J. Kuhle
Cristina Granziera
Philippe C. Cattin
OOD
24
8
0
13 Oct 2021
Collaborative Semantic Aggregation and Calibration for Federated Domain
  Generalization
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Fei Wu
Lanfen Lin
Kun Kuang
FedML
35
22
0
13 Oct 2021
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for
  Semi-supervised Domain Generalization
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization
Ruiqi Wang
Lei Qi
Yinghuan Shi
Yang Gao
33
22
0
10 Oct 2021
Towards Data-Free Domain Generalization
Towards Data-Free Domain Generalization
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
41
14
0
09 Oct 2021
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for
  Semantic Segmentation
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
Kwanyong Park
Sanghyun Woo
Inkyu Shin
In So Kweon
OOD
21
36
0
08 Oct 2021
Scale Invariant Domain Generalization Image Recapture Detection
Scale Invariant Domain Generalization Image Recapture Detection
Jinian Luo
Jie Guo
Weidong Qiu
Zheng Huang
Hong Hui
21
8
0
07 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of
  ML Models
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
21
7
0
07 Oct 2021
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Cuicui Kang
Karthik Nandakumar
OOD
ViT
37
1
0
06 Oct 2021
Instrumental Variable-Driven Domain Generalization with Unobserved
  Confounders
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Junkun Yuan
Xu Ma
Ruoxuan Xiong
Biwei Huang
Xiangyu Liu
Fei Wu
Lanfen Lin
Kun Kuang
OOD
CML
20
12
0
04 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Fei Wu
Lanfen Lin
48
23
0
02 Oct 2021
A Principled Approach to Failure Analysis and Model Repairment:
  Demonstration in Medical Imaging
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Thomas Henn
Yasukazu Sakamoto
Clément Jacquet
Shunsuke Yoshizawa
M. Andou
...
R. Saga
Hiroyuki Ishihara
Katsuhiko Shimizu
Yingzhen Li
Ryutaro Tanno
116
9
0
25 Sep 2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical
  Image Segmentation
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
Ran Gu
Jingyang Zhang
Rui Huang
Wenhui Lei
Guotai Wang
Shaoting Zhang
OOD
23
27
0
18 Sep 2021
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OOD
DRL
22
24
0
13 Sep 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on
  Medical Image Segmentation
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
37
10
0
13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
25
14
0
13 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
35
1
0
09 Sep 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution
  Generalization
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Haoyue Bai
Fengwei Zhou
Lanqing Hong
Nanyang Ye
Shueng-Han Gary Chan
Zhenguo Li
OOD
UQCV
20
42
0
05 Sep 2021
Barycentric-alignment and reconstruction loss minimization for domain
  generalization
Barycentric-alignment and reconstruction loss minimization for domain generalization
Boyang Lyu
Thuan Q. Nguyen
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
38
4
0
04 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
55
517
0
31 Aug 2021
Self-balanced Learning For Domain Generalization
Self-balanced Learning For Domain Generalization
Jin-Hwa Kim
Jiyoung Lee
Jungin Park
Dongbo Min
Kwanghoon Sohn
OOD
AI4CE
21
6
0
31 Aug 2021
Re-using Adversarial Mask Discriminators for Test-time Training under
  Distribution Shifts
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
18
6
0
26 Aug 2021
Learning to Diversify for Single Domain Generalization
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
44
249
0
26 Aug 2021
Discovering Spatial Relationships by Transformers for Domain
  Generalization
Discovering Spatial Relationships by Transformers for Domain Generalization
Cuicui Kang
Karthik Nandakumar
ViT
24
0
0
23 Aug 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning
  Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C. Abbet
Linda Studer
Andreas Fischer
H. Dawson
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
45
32
0
20 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain
  Generalization
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Mohammad Mahfujur Rahman
Clinton Fookes
Sridha Sridharan
OOD
20
3
0
20 Aug 2021
Feature Stylization and Domain-aware Contrastive Learning for Domain
  Generalization
Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization
Seogkyu Jeon
Kibeom Hong
Pilhyeon Lee
Jewook Lee
H. Byun
OOD
18
76
0
19 Aug 2021
Training for the Future: A Simple Gradient Interpolation Loss to
  Generalize Along Time
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery
Soumyadeep Thakur
Vihari Piratla
A. De
Sunita Sarawagi
AI4TS
29
27
0
15 Aug 2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic
  Lung Nodule Data
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
V. Baltatzis
Loic Le Folgoc
S. Ellis
O. M. Manzanera
Kyriaki-Margarita Bintsi
A. Nair
S. Desai
Ben Glocker
J. Schnabel
OOD
14
1
0
10 Aug 2021
Out-of-Domain Generalization from a Single Source: An Uncertainty
  Quantification Approach
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
Xi Peng
Fengchun Qiao
Long Zhao
OOD
45
34
0
05 Aug 2021
Domain Generalization via Gradient Surgery
Domain Generalization via Gradient Surgery
Lucas Mansilla
Rodrigo Echeveste
Diego H. Milone
Enzo Ferrante
OOD
24
78
0
03 Aug 2021
Text is Text, No Matter What: Unifying Text Recognition using Knowledge
  Distillation
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation
A. Bhunia
Aneeshan Sain
Pinaki Nath Chowdhury
Yi-Zhe Song
27
28
0
26 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OOD
AI4CE
28
49
0
13 Jul 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized
  Knowledge Distillation
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang
Haoliang Li
Lap-pui Chau
Alex C. Kot
FedML
13
40
0
06 Jul 2021
MixStyle Neural Networks for Domain Generalization and Adaptation
MixStyle Neural Networks for Domain Generalization and Adaptation
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
TTA
31
76
0
05 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust
  Medical Image Segmentation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chia-Ju Chen
Kerstin Hammernik
Cheng Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
17
20
0
02 Jul 2021
Semi-supervised Meta-learning with Disentanglement for
  Domain-generalised Medical Image Segmentation
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Xiao Liu
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
14
48
0
24 Jun 2021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of
  Multi-Center LGE MRIs
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
Lei Li
V. Zimmer
J. Schnabel
Xiahai Zhuang
11
23
0
16 Jun 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
21
102
0
14 Jun 2021
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