Deeper, Broader and Artier Domain Generalization

9 October 2017

Da Li

Yongxin Yang

Yi-Zhe Song

Timothy M. Hospedales

OOD

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Papers citing "Deeper, Broader and Artier Domain Generalization"

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Title
A2XP: Towards Private Domain Generalization Geunhyeok Yu Hyoseok Hwang 96 0 0 17 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 104 65 0 14 Nov 2023
Improving the Effectiveness of Deep Generative Data Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 74 4 0 07 Nov 2023
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization Prathmesh Bele Valay Bundele Avigyan Bhattacharya Ankit Jha Gemma Roig Biplab Banerjee 70 5 0 05 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Jianing Zhang Christopher G. Brinton Jaekyun Moon OOD FedML 96 17 0 01 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 188 68 0 30 Oct 2023
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization Hao Dong Ismail Nejjar Han Sun Eleni Chatzi Olga Fink 99 25 0 30 Oct 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 84 18 0 28 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness Soumyendu Sarkar Ashwin Ramesh Babu Sajad Mousavi Zachariah Carmichael Vineet Gundecha Sahand Ghorbanpour Ricardo Luna Antonio Guillen-Perez Avisek Naug AAML DiffM 81 5 0 28 Oct 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 100 4 0 28 Oct 2023
Understanding Parameter Saliency via Extreme Value Theory Shuo Wang Issei Sato AAML FAtt 27 0 0 27 Oct 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification Chamuditha Jayanga Galappaththige Gayal Kuruppu Muhammad Haris Khan OOD 82 7 0 26 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 110 11 0 25 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 97 1 0 25 Oct 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 59 8 0 23 Oct 2023
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Gyuseong Lee Wooseok Jang Jin Hyeon Kim Jaewoo Jung Seungryong Kim MoE OOD 67 4 0 17 Oct 2023
Unlocking Emergent Modularity in Large Language Models Zihan Qiu Zeyu Huang Jie Fu 87 10 0 17 Oct 2023
Towards Unified and Effective Domain Generalization Yiyuan Zhang Kaixiong Gong Xiaohan Ding Kaipeng Zhang Fangrui Lv Kurt Keutzer Xiangyu Yue AI4CE OOD FedML 101 4 0 16 Oct 2023
Discovery and Expansion of New Domains within Diffusion Models Ye Zhu Yu Wu Duo Xu Zhiwei Deng Yan Yan Olga Russakovsky DiffM 67 1 0 13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 67 9 0 12 Oct 2023
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli Ashish Ramayee Asokan Lakshay Sharma R. V. Babu VLM 57 21 0 12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz M. Faraki Xiang Yu Manmohan Chandraker Mahsa Baktash 53 4 0 11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 83 5 0 10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 117 0 0 10 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 88 10 0 07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios Shuangliang Li Longhui Yuan Binhui Xie Tao Yang TTA 74 2 0 07 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis Chong You Xingjian Leng Zijian Wang Yang Yang Zi Huang Liang Zheng OOD 104 8 0 06 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 87 4 0 05 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain Generalization Hao Chen Qi Zhang Zenan Huang Haobo Wang Jun Zhao OOD 87 1 0 04 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization Nokyung Park Daewon Chae Jeongyong Shim Sangpil Kim Eun-Sol Kim Jinkyu Kim OOD 57 1 0 04 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 138 12 0 02 Oct 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 140 1 0 02 Oct 2023
Mode Connectivity and Data Heterogeneity of Federated Learning Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 80 3 0 29 Sep 2023
Rethinking Domain Generalization: Discriminability and Generalizability Shaocong Long Qianyu Zhou Chenhao Ying Lizhuang Ma Yuan Luo OOD AI4CE 124 13 0 28 Sep 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 165 8 0 28 Sep 2023
Multivariate Prototype Representation for Domain-Generalized Incremental Learning Can Peng Piotr Koniusz Kai Guo Brian C. Lovell Peyman Moghadam CLL OOD 64 2 0 24 Sep 2023
Randomize to Generalize: Domain Randomization for Runway FOD Detection Javaria Farooq Nayyer Aafaq Muhammad Ishaq Khan Ammar Saleem Muhammad Abubakar Siddique 61 1 0 23 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 92 4 0 23 Sep 2023
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 110 14 0 22 Sep 2023
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Zeyi Huang Andy Zhou Zijian Lin Mu Cai Haohan Wang Yong Jae Lee VLM OOD 89 33 0 21 Sep 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift Valeriy Berezovskiy Nikita Morozov MoMe 78 1 0 20 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective Haoliang Wang Chen Zhao Yunhui Guo Kai Jiang Feng Chen 92 3 0 18 Sep 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 75 2 0 18 Sep 2023
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval Kejun Lin Zihao Wang Zheng Wang Yinqiang Zheng Shiníchi Satoh 73 8 0 15 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning Rates Jian Zhang Lei Qi Yinghuan Shi Yang Gao 81 3 0 12 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations Jiao Zhang Xu-Yao Zhang Cheng-Lin Liu OOD 58 0 0 12 Sep 2023
Zero-Shot Robustification of Zero-Shot Models Dyah Adila Changho Shin Lin Cai Frederic Sala 81 20 0 08 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 116 11 0 08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups Neha Kalibhat Sam Sharpe Jeremy Goodsitt Bayan Bruss Soheil Feizi 55 0 0 07 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 55 1 0 06 Sep 2023