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Self-Challenging Improves Cross-Domain Generalization

Self-Challenging Improves Cross-Domain Generalization

5 July 2020
Zeyi Huang
Haohan Wang
Eric P. Xing
Dong Huang
    OOD
ArXivPDFHTML

Papers citing "Self-Challenging Improves Cross-Domain Generalization"

36 / 136 papers shown
Title
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Siqi Wang
Manyuan Lu
Nikita Moshkov
Juan C. Caicedo
Bryan A. Plummer
16
4
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
48
6
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
22
14
0
26 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image
  Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
C. Ouyang
C. L. P. Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
27
155
0
24 Nov 2021
Discrete Representations Strengthen Vision Transformer Robustness
Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao
Lu Jiang
Mostafa Dehghani
Carl Vondrick
Rahul Sukthankar
Irfan Essa
ViT
27
43
0
20 Nov 2021
Federated Learning with Domain Generalization
Federated Learning with Domain Generalization
Liling Zhang
Xinyu Lei
Yichun Shi
Hongyu Huang
Chao Chen
FedML
OOD
22
54
0
20 Nov 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
129
16
0
05 Nov 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
31
125
0
18 Oct 2021
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Cuicui Kang
Karthik Nandakumar
OOD
ViT
29
1
0
06 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift
Test-time Batch Statistics Calibration for Covariate Shift
Fuming You
Jingjing Li
Zhou Zhao
OOD
17
54
0
06 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
45
23
0
02 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
17
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
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
38
204
0
07 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
49
516
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
K. Sohn
OOD
AI4CE
13
6
0
31 Aug 2021
LIGAR: Lightweight General-purpose Action Recognition
LIGAR: Lightweight General-purpose Action Recognition
Evgeny Izutov
10
3
0
30 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
32
248
0
26 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
On the Challenges of Open World Recognitionunder Shifting Visual Domains
On the Challenges of Open World Recognitionunder Shifting Visual Domains
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Barbara Caputo
21
1
0
09 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
15
148
0
03 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
C. L. P. Chen
Kerstin Hammernik
C. Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
17
20
0
02 Jul 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
40
106
0
07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
37
37
0
07 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of
  Invariances in Domain Generalization
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi
Jean-Christophe Gagnon-Audet
Touraj Laleh
Mojtaba Faramarzi
Kartik Ahuja
Irina Rish
23
59
0
04 Jun 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
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
UQCV
OOD
29
39
0
09 May 2021
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
62
264
0
20 Apr 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
35
426
0
10 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
72
980
0
03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,170
0
02 Mar 2021
Neuron Coverage-Guided Domain Generalization
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
Rethinking Domain Generalization Baselines
Rethinking Domain Generalization Baselines
Francesco Cappio Borlino
A. DÍnnocente
Tatiana Tommasi
OOD
19
40
0
22 Jan 2021
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
28
120
0
22 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
28
88
0
09 Oct 2020
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