Generalizing to Unseen Domains via Adversarial Data Augmentation

30 May 2018

Silvio Savarese

Papers citing "Generalizing to Unseen Domains via Adversarial Data Augmentation"

50 / 464 papers shown

Title
Patch-aware Batch Normalization for Improving Cross-domain Robustness Lei Qi Dongjia Zhao Yinghuan Shi Xin Geng OOD 31 0 0 06 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 35 2 0 04 Apr 2023
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
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 30 10 0 29 Mar 2023
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
TFS-ViT: Token-Level Feature Stylization for Domain Generalization Mehrdad Noori Milad Cheraghalikhani Ali Bahri G. A. V. Hakim David Osowiechi Ismail Ben Ayed Christian Desrosiers 17 10 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
Improving Generalization with Domain Convex Game Fangrui Lv Jian Liang Shuang Li Jinming Zhang Di Liu 16 6 0 23 Mar 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization Jintao Guo Na Wang Lei Qi Yinghuan Shi 27 33 0 21 Mar 2023
Texture Learning Domain Randomization for Domain Generalized Segmentation Sunghwan Kim Dae-Hwan Kim Hoseong Kim 19 18 0 21 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang K. Jia OOD 28 13 0 16 Mar 2023
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
Adaptive Texture Filtering for Single-Domain Generalized Segmentation Xinhui Li Mingjiang Li Yaxing Wang Chuan-Xian Ren Xiaojie Guo 14 5 0 06 Mar 2023
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability Shangqi Gao Hang Zhou Yibo Gao Xiahai Zhuang OOD 37 4 0 03 Mar 2023
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
A Finite Sample Complexity Bound for Distributionally Robust Q-learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OOD OffRL 32 22 0 26 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Shengcai Liao Cees G. M. Snoek TTA 48 17 0 22 Feb 2023
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
Robust Representation Learning with Self-Distillation for Domain Generalization Ankur Singh Senthilnath Jayavelu ViT OOD 8 2 0 14 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 23 19 0 13 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 26 50 0 13 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 21 2 0 10 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 18 9 0 05 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Bo-wen Li Ding Zhao OOD 32 2 0 04 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 19 6 0 03 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 41 74 0 02 Feb 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 16 21 0 30 Jan 2023
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li K. Jia Lei Zhang AAML OOD 18 14 0 30 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 11 19 0 21 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Shuzhen Rao Jun Huang Zengming Tang 14 2 0 19 Jan 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment Qiuhao Zeng W. Wang Fan Zhou Charles X. Ling Boyu Wang OOD ViT 22 15 0 19 Jan 2023
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
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Liming Luke Chen CML 29 4 0 10 Jan 2023
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk Andreas D. Lauritzen M. V. von Euler-Chelpin E. Lynge I. Vejborg Mads Nielsen N. Karssemeijer M. Lillholm 11 3 0 27 Dec 2022
Domain Generalization with Correlated Style Uncertainty Zheyu Zhang Bin Wang Debesh Jha Ugur Demir Ulas Bagci OOD 30 5 0 20 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization Qinyu Wu Jonathan Li Tiantian Mao 11 11 0 12 Dec 2022
Domain generalization of 3D semantic segmentation in autonomous driving Jules Sanchez Jean-Emmanuel Deschaud F. Goulette 3DPC 16 24 0 07 Dec 2022
Domain-General Crowd Counting in Unseen Scenarios Zhipeng Du Jiankang Deng Miaojing Shi OOD 16 27 0 05 Dec 2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective Jiajin Zhang Hanqing Chao Amit Dhurandhar Pin-Yu Chen A. Tajer Yangyang Xu Pingkun Yan OOD AAML 11 14 0 01 Dec 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 37 0 0 26 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 34 1 0 21 Nov 2022
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision Sophia Gu Christopher Clark Aniruddha Kembhavi VLM 14 24 0 17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 24 14 0 17 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 16 7 0 15 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning Y. Liu Chris Xing Tian Haoliang Li Shiqi Wang 18 1 0 13 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization Liang Xiao Jiaolong Xu Dawei Zhao Erke Shang Qi Zhu Bin Dai OOD 18 6 0 13 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Qing Cui Longfei Li An Zhang Xiang Wang Xiangnan He OOD 17 32 0 05 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian OOD FedML 17 10 0 03 Nov 2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers OOD 27 21 0 20 Oct 2022