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Learning to Diversify for Single Domain Generalization

Learning to Diversify for Single Domain Generalization

26 August 2021
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
ArXivPDFHTML

Papers citing "Learning to Diversify for Single Domain Generalization"

50 / 138 papers shown
Title
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 Perturbation
Sumanth Udupa
Prajwal Gurunath
Aniruddh Sikdar
Suresh Sundaram
28
7
0
30 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
16
0
0
27 Nov 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
21
6
0
27 Nov 2023
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Hui Liu
Wenya Wang
Hao Sun
Anderson de Rezende Rocha
Haoliang Li
41
11
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
36
4
0
22 Nov 2023
Domain Generalization of 3D Object Detection by Density-Resampling
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li
Lei Ma
Xingyu Li
3DPC
21
4
0
17 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
In Search of Lost Online Test-time Adaptation: A Survey
In Search of Lost Online Test-time Adaptation: A Survey
Zixin Wang
Yadan Luo
Liang Zheng
Zhuoxiao Chen
Sen Wang
Zi Huang
32
15
0
31 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
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 Watermark: Effective and Harmless Dataset Copyright Protection is
  Closed at Hand
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo
Yiming Li
Lixu Wang
Shu-Tao Xia
Heng-Chiao Huang
Cong Liu
Boheng Li
30
50
0
09 Oct 2023
Incorporating Supervised Domain Generalization into Data Augmentation
Incorporating Supervised Domain Generalization into Data Augmentation
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
25
0
0
02 Oct 2023
Open Compound Domain Adaptation with Object Style Compensation for
  Semantic Segmentation
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Tingliang Feng
Hong Shi
Xueyang Liu
Wei Feng
Jie Wang
Yanlin Zhou
Di Lin
19
5
0
28 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
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
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
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
35
19
0
21 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
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
A Novel Cross-Perturbation for Single Domain Generalization
A Novel Cross-Perturbation for Single Domain Generalization
Dongjia Zhao
Lei Qi
Xiao Shi
Yinghuan Shi
Xin Geng
28
2
0
02 Aug 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
24
48
0
27 Jul 2023
NormAUG: Normalization-guided Augmentation for Domain Generalization
NormAUG: Normalization-guided Augmentation for Domain Generalization
Lei Qi
Hongpeng Yang
Yinghuan Shi
Xin Geng
OOD
33
11
0
25 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
32
3
0
12 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Julien Nicolas
Florent Chiaroni
Imtiaz Masud Ziko
Ola Ahmad
Christian Desrosiers
Jose Dolz
VLM
CLL
28
5
0
11 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
46
10
0
02 Jul 2023
Learning Content-enhanced Mask Transformer for Domain Generalized
  Urban-Scene Segmentation
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Qi Bi
Shaodi You
Theo Gevers
ViT
29
39
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
Generalizable Low-Resource Activity Recognition with Diverse and
  Discriminative Representation Learning
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
Xin Qin
Jindong Wang
Shuo Ma
Wang Lu
Yongchun Zhu
Xingxu Xie
Yiqiang Chen
AI4TS
28
14
0
25 May 2023
Single Domain Dynamic Generalization for Iris Presentation Attack
  Detection
Single Domain Dynamic Generalization for Iris Presentation Attack Detection
Yachun Li
Jingjing Wang
Yuhui Chen
Di Xiey
Shiliang Pu
26
4
0
22 May 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
60
18
0
27 Apr 2023
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
Songhua Liu
Jingwen Ye
Xinchao Wang
DiffM
26
18
0
19 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for
  Generalization
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qing-sheng Yang
Hongjing Niu
Pengfei Xia
Wei Zhang
Bin Li
OOD
28
0
0
14 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot
  Remote Sensing Image Generalization using CLIP
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP
Mainak Singha
Ankit Jha
Bhupendra S. Solanki
Shirsha Bose
Biplab Banerjee
VLM
19
27
0
12 Apr 2023
Meta-causal Learning for Single Domain Generalization
Meta-causal Learning for Single Domain Generalization
Jin Chen
Zhiqiang Gao
Xinxiao Wu
Jiebo Luo
OOD
31
41
0
07 Apr 2023
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Lei Qi
Dongjia Zhao
Yinghuan Shi
Xin Geng
OOD
31
0
0
06 Apr 2023
Domain Generalization with Adversarial Intensity Attack for Medical
  Image Segmentation
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Zheyu Zhang
Bin Wang
Lanhong Yao
Ugur Demir
Debesh Jha
I. Turkbey
Boqing Gong
Ulas Bagci
AAML
MedIm
OOD
32
11
0
05 Apr 2023
Progressive Random Convolutions for Single Domain Generalization
Progressive Random Convolutions for Single Domain Generalization
Seokeon Choi
Debasmit Das
Sungha Choi
Seunghan Yang
Hyunsin Park
Sungrack Yun
20
37
0
02 Apr 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
On the Importance of Feature Separability in Predicting
  Out-Of-Distribution Error
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Renchunzi Xie
Hongxin Wei
Lei Feng
Yuzhou Cao
Bo An
OODD
OOD
22
10
0
27 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
19
0
0
25 Mar 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency
  Transform for Domain Generalization
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Jintao Guo
Na Wang
Lei Qi
Yinghuan Shi
29
33
0
21 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
33
20
0
13 Mar 2023
Neuron Structure Modeling for Generalizable Remote Physiological
  Measurement
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
Hao Lu
Zitong Yu
Xuesong Niu
Yingke Chen
31
31
0
10 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li
Mingjiang Li
Yaxing Wang
Chuan-Xian Ren
Xiaojie Guo
19
5
0
06 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot
  Learning
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Yugang Jiang
25
31
0
18 Feb 2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based
  Domain Generalization
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
Shirsha Bose
Ankit Jha
Enrico Fini
Mainak Singha
Elisa Ricci
Biplab Banerjee
VLM
34
23
0
18 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
16
2
0
02 Feb 2023
Adversarial Style Augmentation for Domain Generalization
Adversarial Style Augmentation for Domain Generalization
Yabin Zhang
Bin Deng
Ruihuang Li
K. Jia
Lei Zhang
AAML
OOD
18
14
0
30 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Xiao Wang
Qi Zhu
CLL
OOD
21
22
0
25 Jan 2023
CLIP the Gap: A Single Domain Generalization Approach for Object
  Detection
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Vidit Vidit
Martin Engilberge
Mathieu Salzmann
VLM
ObjD
22
75
0
13 Jan 2023
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