Learning to Learn Single Domain Generalization

30 March 2020

Papers citing "Learning to Learn Single Domain Generalization"

50 / 261 papers shown

Title
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 14 20 0 20 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 16 14 0 18 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 23 2 0 17 Jul 2023
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
Single Domain Generalization via Normalised Cross-correlation Based Convolutions Weiqin Chuah Ruwan Tennakoon R. Hoseinnezhad David Suter A. Bab-Hadiashar OOD 22 3 0 12 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 30 1 0 08 Jul 2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection Zhijie Rao Jingcai Guo Luyao Tang Yue Huang Xinghao Ding Song Guo 21 16 0 04 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization Yumeng Li Dan Zhang M. Keuper Anna Khoreva 46 10 0 02 Jul 2023
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation Qi Bi Shaodi You Theo Gevers ViT 29 39 0 01 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 48 22 0 26 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 26 3 0 26 Jun 2023
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning Xin Qin Jindong Wang Shuo Ma Wang Lu Yongchun Zhu Xingxu Xie Yiqiang Chen AI4TS 28 14 0 25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization Zheyan Shen Han Yu Peng Cui Jiashuo Liu Xingxuan Zhang Linjun Zhou Furui Liu OOD 19 1 0 25 May 2023
Single Domain Dynamic Generalization for Iris Presentation Attack Detection Yachun Li Jingjing Wang Yuhui Chen Di Xiey Shiliang Pu 21 4 0 22 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 25 5 0 12 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 25 11 0 10 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 36 1 0 21 Apr 2023
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation Gabriel Tjio Ping Liu C. Kwoh Joey Tianyi Zhou 37 0 0 18 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 26 0 0 14 Apr 2023
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
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 28 41 0 07 Apr 2023
Patch-aware Batch Normalization for Improving Cross-domain Robustness Lei Qi Dongjia Zhao Yinghuan Shi Xin Geng OOD 31 0 0 06 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 28 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
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 42 26 0 24 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 30 31 0 23 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
Neuron Structure Modeling for Generalizable Remote Physiological Measurement Hao Lu Zitong Yu Xuesong Niu Yingke Chen 28 31 0 10 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
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang Ce Zhang Heng Xu Shuoshuo Chen Jie Cheng Luziwei Leng Qinghai Guo Zhihai He TTA 39 24 0 02 Mar 2023
Indescribable Multi-modal Spatial Evaluator Lingke Kong X. Qi Qijin Shen Jiacheng Wang Jingyi Zhang Yanle Hu Qichao Zhou 27 7 0 01 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
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
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
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 24 50 0 13 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
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 16 21 0 30 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
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip H. S. Torr DiffM 27 12 0 21 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
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization Yuyang Zhao Zhun Zhong Na Zhao N. Sebe G. Lee 27 29 0 18 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 28 13 0 02 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization Prithvijit Chattopadhyay Kartik Sarangmath Vivek Vijaykumar Judy Hoffman 39 24 0 02 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
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning José Morano Álvaro S. Hervella J. Rouco Jorge Novo José I. Fernández-Vigo M. Ortega MedIm 22 13 0 01 Dec 2022