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Heterogeneous Domain Generalization via Domain Mixup

Heterogeneous Domain Generalization via Domain Mixup

11 September 2020
Yufei Wang
Haoliang Li
Alex C. Kot
    OOD
ArXivPDFHTML

Papers citing "Heterogeneous Domain Generalization via Domain Mixup"

50 / 94 papers shown
Title
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
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
50
0
0
23 Mar 2025
COPA: Comparing the Incomparable to Explore the Pareto Front
COPA: Comparing the Incomparable to Explore the Pareto Front
Adrián Javaloy
Antonio Vergari
Isabel Valera
62
0
0
18 Mar 2025
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain
  Generalization
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization
Pengkun Jiao
Na Zhao
Jingjing Chen
Yu-Gang Jiang
OOD
36
0
0
05 Nov 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
30
6
0
10 Oct 2024
Egocentric zone-aware action recognition across environments
Egocentric zone-aware action recognition across environments
Simone Alberto Peirone
Gabriele Goletto
M. Planamente
A. Bottino
Barbara Caputo
Giuseppe Averta
EgoV
31
0
0
21 Sep 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
56
0
0
30 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
37
0
0
24 May 2024
Domain Generalization through Meta-Learning: A Survey
Domain Generalization through Meta-Learning: A Survey
Arsham Gholamzadeh Khoee
Yinan Yu
R. Feldt
AI4CE
OOD
35
15
0
03 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
39
10
0
31 Mar 2024
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
Hyungjun Yoon
Jaehyun Kwak
Biniyam Aschalew Tolera
Gaole Dai
Mo Li
Taesik Gong
Kimin Lee
Sung-Ju Lee
SSL
VLM
39
0
0
29 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization
  via Extrapolation
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
Yijiang Li
Sucheng Ren
Weipeng Deng
Yuzhi Xu
Ying Gao
Edith Ngai
Haohan Wang
OOD
33
1
0
08 Mar 2024
Overcoming Data Inequality across Domains with Semi-Supervised Domain
  Generalization
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
Jinha Park
Won-Yong Cho
Taesup Kim
32
0
0
08 Mar 2024
StochCA: A Novel Approach for Exploiting Pretrained Models with
  Cross-Attention
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
SeungWon Seo
Suho Lee
Sangheum Hwang
30
0
0
25 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization
HYPO: Hyperspherical Out-of-Distribution Generalization
Yifei Ming
Haoyue Bai
Julian Katz-Samuels
Yixuan Li
OODD
OOD
37
9
0
12 Feb 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
23
0
0
06 Jan 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal
  Approach
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Ziliang Chen
Yongsen Zheng
Zhao-Rong Lai
Quanlong Guan
Liang Lin
CML
31
1
0
15 Dec 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
Learning Invariant Representations with a Nonparametric Nadaraya-Watson
  Head
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Q. Wang
Minh Nguyen
M. Sabuncu
CML
OOD
34
1
0
23 Sep 2023
Invariant Learning via Probability of Sufficient and Necessary Causes
Invariant Learning via Probability of Sufficient and Necessary Causes
Mengyue Yang
Zhen Fang
Yonggang Zhang
Yali Du
Furui Liu
Jean-François Ton
Jianhong Wang
Jun Wang
OODD
32
13
0
22 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Jiao Zhang
Xu-Yao Zhang
Cheng-Lin Liu
OOD
26
0
0
12 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
iBARLE: imBalance-Aware Room Layout Estimation
iBARLE: imBalance-Aware Room Layout Estimation
Taotao Jing
Lichen Wang
Naji Khosravan
Zhiqiang Wan
Zachary Bessinger
Zhengming Ding
S. B. Kang
42
1
0
29 Aug 2023
Understanding Hessian Alignment for Domain Generalization
Understanding Hessian Alignment for Domain Generalization
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
25
10
0
22 Aug 2023
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
14
20
0
20 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating
DISPEL: Domain Generalization via Domain-Specific Liberating
Chia-Yuan Chang
Yu-Neng Chuang
Guanchu Wang
Mengnan Du
Zou Na
18
6
0
14 Jul 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
33
45
0
15 Jun 2023
What can a cook in Italy teach a mechanic in India? Action Recognition
  Generalisation Over Scenarios and Locations
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
Chiara Plizzari
Toby Perrett
Barbara Caputo
Dima Damen
EgoV
13
16
0
14 Jun 2023
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive
  Summarization
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization
Pranav Ajit Nair
Sukomal Pal
Pradeepika Verm
MoMe
32
2
0
26 May 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
ERM++: An Improved Baseline for Domain Generalization
ERM++: An Improved Baseline for Domain Generalization
Piotr Teterwak
Kuniaki Saito
Theodoros Tsiligkaridis
Kate Saenko
Bryan A. Plummer
OOD
36
9
0
04 Apr 2023
Domain Generalization via Nuclear Norm Regularization
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
30
12
0
13 Mar 2023
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
E. Hossain
OOD
AI4CE
29
26
0
13 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
35
20
0
28 Feb 2023
Temporal Coherent Test-Time Optimization for Robust Video Classification
Temporal Coherent Test-Time Optimization for Robust Video Classification
Chenyu Yi
Siyuan Yang
Yufei Wang
Haoliang Li
Yap-Peng Tan
Alex C. Kot
TTA
19
12
0
28 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier
  Amplitude Approach
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
Minyoung Kim
Da Li
Timothy M. Hospedales
OOD
19
11
0
23 Feb 2023
Out-of-Domain Robustness via Targeted Augmentations
Out-of-Domain Robustness via Targeted Augmentations
Irena Gao
Shiori Sagawa
Pang Wei Koh
Tatsunori Hashimoto
Percy Liang
OODD
OOD
29
21
0
23 Feb 2023
Towards Radar Emitter Recognition in Changing Environments with Domain
  Generalization
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization
Honglin Wu
Xueqiong Li
Long Lan
Liyang Xu
Yuhua Tang
19
0
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
29
23
0
18 Feb 2023
Removing Image Artifacts From Scratched Lens Protectors
Removing Image Artifacts From Scratched Lens Protectors
Yufei Wang
Renjie Wan
Wenhan Yang
B. Wen
Lap-Pui Chau
Alex C. Kot
43
1
0
11 Feb 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OOD
AI4CE
47
8
0
06 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained
  Models
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Byunggyu Lew
Donghyun Son
Buru Chang
19
6
0
03 Feb 2023
Open-Set Multi-Source Multi-Target Domain Adaptation
Open-Set Multi-Source Multi-Target Domain Adaptation
Rohit Lal
Arihant Gaur
Aadhithya Iyer
Muhammed Abdullah Shaikh
Ritik Agrawal
6
1
0
02 Feb 2023
Direct-Effect Risk Minimization for Domain Generalization
Direct-Effect Risk Minimization for Domain Generalization
Yuhui Li
Zejia Wu
Chao Zhang
Hongyang R. Zhang
OOD
37
0
0
26 Nov 2022
Cross-domain Transfer of defect features in technical domains based on
  partial target data
Cross-domain Transfer of defect features in technical domains based on partial target data
T. Schlagenhauf
Tim Scheurenbrand
33
1
0
24 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu
Jindong Wang
Han Yu
Lei Huang
Xiang Zhang
Yiqiang Chen
Xingxu Xie
26
6
0
07 Nov 2022
Domain Generalization through the Lens of Angular Invariance
Domain Generalization through the Lens of Angular Invariance
Yujie Jin
Xu Chu
Yasha Wang
Wenwu Zhu
OOD
6
3
0
28 Oct 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled
  Representations
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
Xinyu Yang
Huaxiu Yao
Allan Zhou
Chelsea Finn
39
3
0
25 Oct 2022
Mixup for Test-Time Training
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
14
1
0
04 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain
  Generalization
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
Danni Peng
Sinno Jialin Pan
29
2
0
29 Sep 2022
12
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