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Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

28 August 2020
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
    OOD
ArXivPDFHTML

Papers citing "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"

50 / 55 papers shown
Title
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
185
0
0
03 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
198
0
0
27 Feb 2025
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
46
1
0
11 Sep 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois Knoll
Guang Chen
Changjun Jiang
45
12
0
06 Mar 2024
GOOD: Towards Domain Generalized Orientated Object Detection
GOOD: Towards Domain Generalized Orientated Object Detection
Qi Bi
Beichen Zhou
Jingjun Yi
Wei Ji
Haolan Zhan
Gui-Song Xia
ObjD
OOD
85
2
0
20 Feb 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
90
3
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
Improving Intrusion Detection with Domain-Invariant Representation
  Learning in Latent Space
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
26
1
0
28 Dec 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
28
6
0
27 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
30
6
0
23 Nov 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
39
0
0
17 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 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
29
10
0
08 Sep 2023
Meta-causal Learning for Single Domain Generalization
Meta-causal Learning for Single Domain Generalization
Jin Chen
Zhiqiang Gao
Xinxiao Wu
Jiebo Luo
OOD
34
42
0
07 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization
Randomized Adversarial Style Perturbations for Domain Generalization
Taehoon Kim
Bohyung Han
AAML
35
2
0
04 Apr 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
48
26
0
24 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
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
43
20
0
28 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODD
VLM
52
74
0
02 Feb 2023
Modeling Uncertain Feature Representation for Domain Generalization
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li
Zixuan Hu
Jun Liu
Yixiao Ge
Yongxing Dai
Ling-Yu Duan
OOD
29
3
0
16 Jan 2023
Domain Generalization by Learning and Removing Domain-specific Features
Domain Generalization by Learning and Removing Domain-specific Features
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
30
40
0
14 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
47
24
0
02 Dec 2022
Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Yufan Liao
Qi Wu
Zhaodi Wu
Xing Yan
13
4
0
18 Nov 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Mitigating Both Covariate and Conditional Shift for Domain
  Generalization
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
45
3
0
17 Sep 2022
Repeated Environment Inference for Invariant Learning
Repeated Environment Inference for Invariant Learning
Aayush Mishra
Anqi Liu
BDL
OOD
28
0
0
26 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
49
36
0
29 Jun 2022
Slimmable Domain Adaptation
Slimmable Domain Adaptation
Rang Meng
Weijie Chen
Shicai Yang
Mingli Song
Luojun Lin
Di Xie
Shiliang Pu
Xinchao Wang
Mingli Song
Yueting Zhuang
29
12
0
14 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
41
2
0
13 Jun 2022
Dynamic Domain Generalization
Dynamic Domain Generalization
Zhishu Sun
Zhifeng Shen
Luojun Lin
Yuanlong Yu
Zhifeng Yang
Shicai Yang
Weijie Chen
OOD
31
18
0
27 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain
  Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
OOD
19
44
0
27 Apr 2022
Domain Invariant Model with Graph Convolutional Network for Mammogram
  Classification
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification
Chu-ran Wang
Jing Li
Xinwei Sun
Fandong Zhang
Yizhou Yu
Yizhou Wang
MedIm
OOD
38
2
0
21 Apr 2022
Multiple-environment Self-adaptive Network for Aerial-view
  Geo-localization
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization
T. Wang
Zhedong Zheng
Yaoqi Sun
C. Yan
Yi Yang
Tat-Seng Chua
17
43
0
18 Apr 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
26
131
0
21 Mar 2022
Debiased Batch Normalization via Gaussian Process for Generalizable
  Person Re-Identification
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Jiawei Liu
Zhipeng Huang
Liang-Sheng Li
Kecheng Zheng
Zhengjun Zha
28
26
0
03 Mar 2022
DGSS : Domain Generalized Semantic Segmentation using Iterative Style
  Mining and Latent Representation Alignment
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment
P. Shyam
Antyanta Bangunharcana
Kuk-Jin Yoon
Kyung-soo Kim
32
5
0
26 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
34
175
0
08 Feb 2022
MVDG: A Unified Multi-view Framework for Domain Generalization
MVDG: A Unified Multi-view Framework for Domain Generalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
24
29
0
23 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
27
40
0
14 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OOD
VLM
3DV
65
40
0
06 Dec 2021
Calibrated Feature Decomposition for Generalizable Person
  Re-Identification
Calibrated Feature Decomposition for Generalizable Person Re-Identification
Kecheng Zheng
Jiawei Liu
Wei Wu
Liang Li
Zhengjun Zha
58
6
0
27 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
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
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
34
125
0
18 Oct 2021
Task Guided Compositional Representation Learning for ZDA
Task Guided Compositional Representation Learning for ZDA
Shuang Liu
Mete Ozay
OOD
25
0
0
13 Sep 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
248
0
26 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
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
Adversarially Adaptive Normalization for Single Domain Generalization
Adversarially Adaptive Normalization for Single Domain Generalization
Xinjie Fan
Qifei Wang
Junjie Ke
Feng Yang
Boqing Gong
Mingyuan Zhou
27
129
0
01 Jun 2021
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